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Bachelor's Thesis

Bachelor's Thesis are written in the course Seminar aus Statistik und Data Science , opens an external URL in a new window . 

Members of the IFAS with Phd. supervise Bachelor and Master theses in Statistics , preferably in the following areas and serve as examiners for the Master’s examination:

Currently the following topics for Bachelor theses are offered for supervision amongst others:

Information regarding the Bachelor's Thesis can be found here. The template for the layout of the Bachelor's Thesis can be found below.

  • Informal Guidelines for Bachelor's Thesis (PDF, 75,6 KB) , opens in new window
  • Template Bachelor's Thesis , opens a file
  • Completed Bachelor's Theses , opens a file

Two Bachelor's Thesis graded as "very good" can be found here (in German)

Magdalena leitner: portfolio-var-schätzung mittels bedingter compula-garch methode  (portfolio-var-estimation using a conditional compula-garch method.

Value-at-Risk (VaR) is an important instrument for risk assessment of financial time series. This estimation can be performed in different ways. One possibility is modelling with the aid of GARCH-models and copula functions, which is a very flexible approach. Within this bachelor's thesis the Copula-GARCH method is compared with classic VaR-estimation methods based on the stocks ATX and DAX.  , opens a file in a new window

Daniel Dober: Distanz- und modellbasiertes Clustern eines phänotypischen Datensatzes (Distance- and modelbased clustern of a phenotypic data set)

This bachelor's thesis conducts a cluster analysis of a phenotypic data set in order to detect class structures with the aid of "unsupervised learning". Therefore, the results of a distance-based cluster analysis, which is generally used for these problems, are compared with those of a model-based cluster analysis. The resulting class structure was used to identify genes having significant effects on the maturity of barley plants.  , opens a file in a new window

Johannes Kepler University Linz

Altenberger Straße 69

4040 Linz, Austria

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  • Bibliography
  • More Referencing guides Blog Automated transliteration Relevant bibliographies by topics
  • Automated transliteration
  • Relevant bibliographies by topics
  • Referencing guides

Dissertations / Theses on the topic 'Clustering analysis'

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Karim, Ehsanul, Sri Phani Venkata Siva Krishna Madani, and Feng Yun. "Fuzzy Clustering Analysis." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2165.

Al-Razgan, Muna Saleh. "Weighted clustering ensembles." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3212.

Karimi, Kambiz. "Clustering analysis of residential loads." Kansas State University, 2016. http://hdl.handle.net/2097/32616.

FARMANI, MOHAMMAD REZA. "Clustering analysis using Swarm Intelligence." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266871.

Gupta, Pramod. "Robust clustering algorithms." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39553.

Leisch, Friedrich. "Bagged clustering." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/1272/1/document.pdf.

Xu, Tianbing. "Nonparametric evolutionary clustering." Diss., Online access via UMI:, 2009.

Shortreed, Susan. "Learning in spectral clustering /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/8977.

Ptitsyn, Andrey. "New algorithms for EST clustering." Thesis, University of the Western Cape, 2000. http://etd.uwc.ac.za/index.php?module=etd&amp.

Cole, Rowena Marie. "Clustering with genetic algorithms." University of Western Australia. Dept. of Computer Science, 1998. http://theses.library.uwa.edu.au/adt-WU2003.0008.

Zhang, Yiqun. "Advances in categorical data clustering." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/658.

Chan, Alton Kam Fai. "Hyperplane based efficient clustering and searching /." View abstract or full-text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHANA.

Zhou, Dunke. "High-dimensional Data Clustering and Statistical Analysis of Clustering-based Data Summarization Products." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338303646.

Cui, Yingjie. "A study on privacy-preserving clustering." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B4357225X.

Szeto, Lap Keung. "Clustering analysis of microarray gene expression data /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-it-b19885817a.pdf.

Ray, Shubhankar. "Nonparametric Bayesian analysis of some clustering problems." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4251.

Weijermars, Wilhelmina Adriana Maria. "Analysis of urban traffic patterns using clustering." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/57837.

Bennett, Brian Todd. "Locating Potential Aspect Interference Using Clustering Analysis." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/50.

Petrov, Anton Igorevich. "RNA 3D Motifs: Identification, Clustering, and Analysis." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1333929629.

Talasu, Dharneesh. "Efficient fMRI Analysis and Clustering on GPUs." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322077186.

Jankovsky, Zachary Kyle. "Clustering Analysis of Nuclear Proliferation Resistance Measures." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398354675.

Bhusal, Prem. "Scalable Clustering for Immune Repertoire Sequence Analysis." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558631347622374.

Yuan, Ding. "Heuristic subset clustering for consideration set analysis." Diss., University of Iowa, 2007. http://ir.uiowa.edu/etd/137.

Chang, Soong Uk. "Clustering with mixed variables /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19086.pdf.

Hsieh, Ya-Ching. "Homals-clustering analysis and its applications in computational sequence analysis." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1472131881&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

Lee, King-for Foris. "Clustering uncertain data using Voronoi diagram." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43224131.

McClelland, Robyn L. "Regression based variable clustering for data reduction /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9611.

Albarakati, Rayan. "Density Based Data Clustering." CSUSB ScholarWorks, 2015. https://scholarworks.lib.csusb.edu/etd/134.

Vohra, Neeru Rani. "Three dimensional statistical graphs, visual cues and clustering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ56213.pdf.

Madureira, Erikson Manuel Geraldo Vieira de. "Análise de mercado : clustering." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/13122.

Tantrum, Jeremy. "Model based and hybrid clustering of large datasets /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/8933.

Cui, Yingjie, and 崔英杰. "A study on privacy-preserving clustering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4357225X.

Xiong, Yimin. "Time series clustering using ARMA models /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20XIONG.

Hossain, Mahmud Shahriar. "Exploratory Data Analysis using Clusters and Stories." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28085.

Zhou, Hong. "Visual clustering in parallel coordinates and graphs /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20ZHOU.

梁德貞 and Tak-ching Leung. "Correspondence analysis and clustering with applications to site-species occurrence." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31209889.

Leung, Tak-ching. "Correspondence analysis and clustering with applications to site-species occurrence /." [Hong Kong] : University of Hong Kong, 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13039519.

Lee, King-for Foris, and 李敬科. "Clustering uncertain data using Voronoi diagram." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224131.

Mojahed, Aalaa. "An integrated clustering analysis framework for heterogeneous data." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/60656/.

Waldron, Edward. "Analysis of genetic association studies via haplotype clustering." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497253.

Fan, Shih-Yuam, and 范仕遠. "Applying Non-Parametric Clustering Algorithm on Clustering Analysis." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/01281688858624985843.

NGUYEN, THI-PHUONG-QUYEN, and 阮芳鵑. "Data Analysis Framework of Constrained Clustering and Sequential Clustering Classification." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/97y2e9.

Banerjee, Arindam Ghosh Joydeep. "Scalable clustering algorithms." 2005. http://repositories.lib.utexas.edu/bitstream/handle/2152/1818/banerjeea16458.pdf.

Banerjee, Arindam. "Scalable clustering algorithms." Thesis, 2005. http://hdl.handle.net/2152/1818.

Iyigun, Cem. "Probabilistic distance clustering." 2008. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17142.

Andreopoulos, William. "Clustering algorithms for categorical data /." 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR19856.

Yogananda, A. P. "Hyperplane Clustering : A New Divisive Clustering Algorithm." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1166.

Chub, Wong Ka, and 黃家俊. "Clustering Analysis for Curve Data." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/er8nw3.

"Clustering multivariate data using interpoint distances." 2011. http://library.cuhk.edu.hk/record=b5894802.

"Distributed clustering algorithms." 2001. http://library.cuhk.edu.hk/record=b5890660.

cluster analysis bachelor thesis

Bachelor and Master Theses

BSc (97), MSc (75), MSc SciComp (15), Diploma (5)

  • Stefan Lenert: Building Conversational Question Answering Systems , Master Thesis, March 2024. 
  • Alexander Kosnac:  Quantity-centric Summarization Techniques for Documents , Bachelor Thesis, March 2024.
  • Nicolas Hellthaler: Footnote-Augmented Documents for Passage Retrieval , Bachelor Thesis, February 2024.
  • Simon Gimmini: Exploring Temporal Patterns in Art Through Diffusion Models , Master Thesis, February 2024
  • Xingqi Cheng:  A Rule-based Post-processor for Temporal Knowledge Graph Extrapolation , Master Thesis, January 2024.
  • Raphael Ebner: Leveraging Large Language Models for Information Extraction and Knowledge Representation , Bachelor Thesis, January 2024.
  • Angelina Basova: Table Extraction from PDF Documents , Master Thesis, December 2023
  • Milena Bruseva:  Benchmarking Vector Databases: A Framework for Evaluating Embedding Based Retrieval , Master Thesis, December 2023.
  • Luis Wettach:  Medical Electronic Data Capture at Home – A Privacy Compliant Framework , Master Thesis, December 2023.
  • Jayson Pyanowski:  Semantic Search with Contextualized Query Generation , Master Thesis, December 2023.
  • Philipp Göldner: Information Retrieval using Sparse Embeddings , Master Thesis, December 2023.
  • Vivian Kazakova:  A Topic Modeling Framework for Biomedical Text Analysis , Bachelor Thesis, October 2023
  • Dennis Geiselmann: Context-Aware Dense Retrieval , Master Thesis, October 2023.
  • Konrad Goldenbaum: Semantic Search and Topic Exploration of Scientific Paper Corpora , Bachelor Thesis, October 2023
  • Yingying Cao:  Keyword-based Summarization of (Legal) Documents , Master Thesis Scientific Computing, August, 2023.
  • Julian Freyberg: Structural and Logical Document Layout Analysis u sing Graph Neural Networks , Master Thesis, August 2023.
  • Marina Walther:  A Universal Online Social Network Conversation Model , Master Thesis, August 2023.
  • David Pohl:  Zero-Shot Word Sense Disambiguation using Word Embeddings , Bachelor Thesis, August 2023
  • Klemens Gerber:  Automatic Enrichment of Company Information in Knowledge Graphs , Master Thesis, August 2023.
  • Bastian Müller:  An Adaptable Question Answering Framework with Source-Citations , Bachelor Thesis, August 2023
  • Jiahui Li:  Styled Text Summarization via Domain-specific Paraphrasing ,  Master Thesis Scientific Computing, July 2023.
  • Sophia Matthis: Multi-Aspect Exploration of Plenary Protocols , Master Thesis, June 2023.
  • Till Rostalski:  A Generic Patient Similarity Framework for Clinical Data Analysis , Bachelor Thesis, June 2023
  • David Jackson:  Automated Extraction of Drug Analysis and Discovery Networks , Master Thesis Scientific Computing, May 2023.
  • Christopher Brückner:  Multi-Feature Clustering of Search Results , Master Thesis, April 2023.
  • Paul Dietze:  Formula Classification and Mathematical Token Embeddings , Bachelor Thesis, April 2023.
  • Sophia Hammes:  A Neural-Based Approach for Link Discovery in the Process Management Domain , Master Thesis, March 2023.
  • Fabian Kneissl:  Time-Dependent Graph Modeling of Twitter Conversations , Master Thesis, March 2023.
  • Lucienne-Sophie Marmé:   A Bootstrap Approach for Classifying Political Tweets into Policy Fields , Bachelor Thesis, March 2023.
  • Jing Fan: Assessing Factual Accuracy of Generated Text Using Semantic Role Labeling , Bachelor Thesis, March 2023.
  • Fabio Gebhard:  A Rule-based Approach for Numerical Question Answering , Master Thesis, December 2022.
  • Severin Laicher:  Learning and Exploring Similarity of Sales Items and its Dependency on Sales Data , Master Thesis, September 2022.
  • Raeesa Yousaf: Explainability of Graph Roles Extracted from Networks , Bachelor Thesis, September 2022.
  • Julian Seibel: Towards GAN-based Open-World Knowledge Graph Completion , Master Thesis, June 2022.
  • Claire Zhao Sun: Extracting and Exploring Causal Factors from Financial Documents , Master Thesis Scientific Computing, May 2022.
  • Ziqiu Zhou:  Semantic Extensions of OSM Data Through Mining Tweets in the Domain of Disaster Management , Master Thesis, May 2022.
  • Lukas Ballweg:  Analysis of Lobby Networks and their Extraction from Semi-Structured Data ,  Bachelor Thesis, April 2022.
  • Benjamin Wagner:  Benchmarking Graph Databases for Knowledge Graph Handling , Bachelor Thesis, March 2022.
  • Cedric Bender:  Exploration and Analysis of Methods for German Tweet Stream Summarization , Bachelor Thesis, March 2022. 
  • Johannes Klüh:  Polyphonic Music Generation for Multiple Instruments using Music Transformer , Bachelor Thesis, March 2022.
  • Nicolas Reuter: Automatic Annotation of Song Lyrics Using Wikipedia Resources , Master Thesis, December 2021.
  • Mateusz Chrzastek: Extraktive Keyphrases form Noun Chunk Similarity , Bachelor Thesis, October 2021. 
  • Fabrizio Primerano: Document Information Extraction from Visually-rich Documents with Unbalanced Class Structure , Master Thesis, October 2021.
  • Sarah Marie Bopp: Gender-centric Analysis of Tweets from German Politicians , Bachelor Thesis, September 2021.
  • Philipp Göldner: A Framework for Numerical Information Extraction , Bachelor Thesis, July 2021.
  • Robin Khanna: Adaptive Topic Modelling for Twitter Data , Bachelor Thesis, July 2021.
  • Thomas Rekers: Correlating Postings from Different Social Media Platforms , Master Thesis, July 2021.
  • Duc Anh Phi: Background Linking of News Articles , Master Thesis, May 2021.
  • Eike Harms: Linking Table and Text Quantities in Documents , Master Thesis, April 2021.
  • Raphael Arndt: Regelbasierte Binärklassifizierung von Webseiten , Bachelor Thesis, April 2021.
  • Jonas Gann: Integrating Identity Management Providers based on Online Access Law , Bachelor Thesis, March 2021.
  • Björn Ternes: Kontextbasierte Informationsextraktion aus Datenschutzerklärungen , Bachelor Thesis, March 2021.
  • Fabio Becker: A Generative Model for Dynamic Networks with Community Structures , Master Thesis, December 2020.
  • Jan-Gabriel Mylius: Visual Analysis of Paragraph Similarity , Bachelor Thesis, December 2020
  • Alexander Hebel: Information Retrieval mit PostgreSQL , Master Thesis, November 2020.
  • Jonas Albrecht: Lexikon-basierte Sentimentanalyse von Tweets , Bachelor Thesis, November 2020.
  • Marina Walther: A Network-based Approach to Investigate Medical Time Series Data , Bachelor Thesis, September 2020.
  • Stefan Hickl: Automatisierte Generierung von Inhaltsverzeichnissen aus PDF-Dokumenten , Bachelor Thesis, September 2020.
  • Christopher Brückner: Structure-centric Near-Duplicate Detection , Bachelor Thesis, August 2020.
  • David Jackson: Extracting Knowledge Graphs from Biomedical Literature , Bachelor Thesis, August 2020.
  • David Richter: Single-Pass Training von Klassifikatoren basierend auf einem großem Web-Korpus , Master Thesis, August 2020.
  • Julian Freyberg: Time-sensitive Multi-label Classification of News Articles , Bachelor Thesis, July 2020.
  • John Ziegler: Modelling and Exploration of Property Graphs for Open Source Intelligence , Master Thesis, August, 2020.
  • Johannes Keller: A Network-based Approach for Modeling Twitter Topics , Master Thesis, June 2020.
  • Erik Koynov : Three Stage Statute Retrieval Algorithm with BERT and Hierachical Pretraining" , Bachelor Thesis, Mai 2020.
  • Fabian Kaiser: Cross-Reference Resolution in German and European Law , Master Thesis, April 2020.
  • Hasan Malik: Open Numerical Information Extraction , Master Thesis, Scientific Computing, March 2020.
  • Matthias Rein: Exploration of User Networks and Content Analysis of the German Political Twittersphere , Master Thesis, March 2020.
  • Philip Hausner: Time-centric Content Exploration in Large Document Collections , Master Thesis, March 2020.
  • Mohammad Dawas: On the Analysis of Networks Extracted from Relational Databases , Master Thesis, Scientific Computing, February 2020.
  • Lea Zimmermann: Mapping Machine Learning Frameworks to End2End Infrastructures , Bachelor Thesis, February 2020
  • Bente Nittka: Modelling Verdict Documents for Automated Judgment Grounds Prediction , Bachelor Thesis, November 2019
  • Michael Pronkin: A Framework for a Person-Centric Gazetteer Service , Bachelor Thesis, November 2019
  • Jessica Löhr: Analysis and Exploration of Register Data of Companies , Bachelor Thesis, October 2019
  • Seida Basha: Extraction of Comment Threads of Political News Articles , Bachelor Thesis, September 2019
  • Lukas Rüttgers: Analyse von YouTube-Kommentaren zur Förderung von Diskussionen , Master Thesis, Scientific Computing, July 2019
  • Gloria Feher: Concepts in Context: A Network-based Approach , Master Thesis, July 2019
  • Dennis Aumiller: Implementation of a Relational Document Hypergraph for Information Retrieval , Master Thesis, April 2019
  • Raheel Ahsan: Efficient Entity Matching , Master Thesis, Scientific Computing, March 2019
  • Christian Straßberger: Time-Varying Graphs to Explore Medical Time Series , Master Thesis, Scientific Computing, March 2019
  • Frederik Schwabe: Zitationsnetzwerke in Gesetzestexten und juristischen Entscheidungen , Bachelor Thesis, February 2019
  • Kilian Claudius Valenti: Extraktion und Exploration von Kookkurenznetzwerken aus Arztbriefen , Bachelor Thesis, February 2019
  • Satya Almasian: Learning Joint Vector Representation of Words and Named Entities , Master Thesis, Scientific Computing, October 2018
  • Naghmeh Fazeli: Evolutionary Analysis of News Article Networks , Master Thesis, Scientific Computing, October 2018
  • Lukas Kades: Development and Evaluation of an Indoor Simulation Model for Visitor Behaviour on a Trade Fair , Master Thesis, October 2018
  • David Stronczek: Named Entity Disambiguation using Implicit Networks , Master Thesis, August 2018
  • Julius Franz Foitzik: A Social Network Approach towards Location-based Recommendation , Master Thesis, April 2018
  • Carine Dengler: Network-based Modeling and Analysis of Political Debates , Master Thesis, May 2018
  • Maximilian Langknecht: Exploration-Based Feature Analysis of Time Series Using Minimum Spanning Trees ,  Bachelor Thesis, May 2018
  • Jayson Salazar: Extraction and Analysis of Dynamic Co-occurence Networks from Medical Text , Master Thesis, Scientific Computing, April 2018
  • Fabio Becker: Toponym Resolution in HeidelPlace , Bachelor Thesis, April 2018
  • Felix Stern: Correlating Finance News Articles and Stock Indexes , Master Thesis, March 2018
  • Oliver Hommel: Symbolical Inversion of Formulas in an OLAP Context , Master Thesis, Scientific Computing,  March 2018
  • Jan Greulich: Reasoning with Imprecise Temporal and Geographical Data , Master Thesis, February 2018
  • Johannes Visintini: Modelling and Analyzing Political Activity Networks , Bachelor Thesis, February 2018
  • Sebastian Lackner:  Efficient Algorithms for Anti-community Detection , Master Thesis, February 2018
  • Leonard Henger: Erstellung eines konzeptionellen Datenmodells für Zeitreihen und Erkennung von Zeitreihenausreißern , Bachelor Thesis, December 2017
  • Christian Kromm: Short-term travel time prediction in complex contents , Master Thesis, December 2017
  • Christian Schütz: A Generative Model for Correlated Geospatial Property Graphs with Social Network Characteristics , Bachelor Thesis, December 2017
  • Sophia Stahl: Association Rule Based Pattern Mining of Cancer Genome Variants , Master Thesis, December 2017
  • Patrick Breithaupt: Evolving Topic-centric Information Networks , Master Thesis, October 2017
  • Michael Müller: Graph Based Event Summarization , Master Thesis, September 2017
  • Slavin Donchev: Statement Extraction from German Newspaper Articles , Bachelor Thesis, August 2017
  • Dennis Aumiller: Mining Relationship Networks from University Websites , Bachelor Thesis, August 2017
  • Katja Hauser: Latent Information Networks from German Newspaper Articles , Bachelor Thesis, April 2017
  • Xiaoyu Ye: Extraction and Analysis of Organization and Person Networks , Master Thesis, April 2017
  • Martin Enderlein: Modeling and Exploring Company Networks , Bachelor Thesis, January 2017
  • Ludwig Richter: A Generic Gazetter Data Model and an Extensible Framework for Geoparsing , Master Thesis, October 2016
  • Benjamin Keller: Matching Unlabeled Instances against a Known Data Schema Using Active Learning , Bachelor Thesis, August 2016
  • Julien Stern: Generation and Analysis of Event Networks from GDELT Data , Bachelor Thesis, July 2016
  • Hüseyin Dagaydin: Personalized Filtering of SAP Internal Search Results based on Search Behavior , Master Thesis, March 2016
  • Zaher Aldefai: Improvement of SAP Search HANA results through Text Analysis , Master Thesis, April 2016
  • Jens Cram: Adapting In-Memory Representations of Property Graphs to Mixed Workloads , Bachelor Thesis, April 2016
  • Antonio Jiménez Fernández: Collection and Analysis of User Generated Comments on News Articles , Bachelor Thesis, April 2016
  • Nils Weiher: Temporal Affiliation Network Extraction from Wikidata , Bachelor Thesis, March 2016
  • Claudia Dünkel: Erweiterung des Wu-Holme Modells für Zitationsnetzwerke , Bachelor Thesis, January 2016
  • Muhammad El-Hindi: VisIndex: A Multi-dimensional Tree Index for Histogram Queries , Master Thesis, December 2015
  • Annika Boldt: Rahmenwerk für kontextsensitive Hilfe von webbasierten Anwendungen , Master Thesis, December 2015
  • Carine Dengler: Das INDY-Bildanalyseframework für die Geschichtswissenschaften , Bachelor Thesis, October 2015
  • Leif-Nissen Lundbaek: Conceptional analysis of cryptocurrencies towards smart financial networks , Master Thesis, Scientific Computing, October 2015
  • Viktor Bersch: Effiziente Identifikation von Ereignissen zur Auswertung komplexer Angriffsmuster auf IT Infrastrukturen , Master Thesis, September 2015
  • Ranjani Dilip Banhatti: Graph Regularization Parameter for Non-Negative Matrix Factorization , Master Thesis, Scientific Computing, September 2015
  • Konrad Kühne: Temporal-Topological Analysis of Evolutionary Message Networks , Bachelor Thesis, July 2015
  • Stefanie Bachmann: The K-Function and its use for Bandwidth Parameter Estimation , Bachelor Thesis, July 2015
  • Philipp Daniel Freiberger: Temporal Evolution of Communities in Affiliation Networks , Bachelor Thesis, June 2015
  • Johannes Auer: Bewertung von GitHub Projekten anhand von Eventdaten , Bachelor Thesis, March 2015
  • Christian Kromm: Erkennung und Analyse von Regionalen Hashtag Communities in Twitter , Bachelor Thesis, March 2015
  • Matthias Brandt: Evolution of Correlation of Hashtags in Twitter, Master Thesis, February 2015
  • Jonas Scholten: Effizientes Indexing von Twitter-Daten für temporale und räumliche TopK-Suche unter Verwendung von Mongo DB , Bachelor Thesis, February 2015
  • Patrick Breithaupt: Experimentelle Analyse des Exponetial Random Graph Modells , Bachelor Thesis, February 2015
  • Timm Schäuble: Classification of Temporal Relations between Events , Bachelor Thesis, January 2015
  • Andreas Spitz: Analysis and Exploration of Centrality and Referencing Patterns in Networks of News Articles, Master Thesis , November 2014
  • Tobias Zatti: Simulation und Erweiterung von sozialen Netzwerken durch Random Graphs am Beispiel von Twitter , Bachelor Thesis, November 2014
  • Ludwig Richter: Automated Field-Boundary Detection by Trajectory Analysis of Agricultural Machinery , Bachelor Thesis, August 2014
  • Thomas Metzger: Mining Sequential Patterns from Song Lists , Bachelor Thesis, July 2014
  • Arthur Arlt: Determining Rates of False Positives and Negatives in Fast Flux Botnet Detection , Master Thesis, July 2014.
  • Hanna Lange: Stream-based Event and Place Detection from Social Media , June 2014
  • Christian Karr: Effektive Indexierung von räumlichen und zeitlichen Daten , Bachelor Thesis, May 2014
  • Haikuhi Jaghinyan: Evaluation of the HANA Graph Engine, Bachelor Thesis, March 2014
  • Sebastian Rode: Speeding Up Graph Traversals in the SAP HANA Database , Diploma Thesis, Mathematics/Computer Science, March 2014
  • Isil Özge Pekel: Performing Cluster Analysis on Column Store Databases , Master Thesis, March 2014
  • Andreas Runk: Integrating Information about Persons from Linked Open Data , Master Thesis, February 2014
  • Tobias Limpert: Verbesserung der spatio-temporal Event Extraktion und ihrer Kontextinformation durch Relationsextraktionsmethoden , Bachelor Thesis, December 2013
  • Christian Seyda: Comparison of graph-based and vector-space geographical topic detection , Master Thesis, December 2013
  • Bartosz Bogasz: Generation of Place Summaries from Wikipedia , Master Thesis, December 2013
  • David Richter: Segmentierung geographischer Regionen aus Social Media mittels Superpixelverfahren , Bachelor Thesis, Oktober 2013
  • Marek Walkowiak: Gazetteer-gestützte Erkennung und Disambiguierung von Toponymen in Text , Bachelor Thesis, Oktober 2013
  • Mirko Kiefer: Histo: A Protocol for Peer-to-Peer Data Synchronization in Mobile Apps , Bachelor Thesis, September 2013
  • Daniel Egenolf: Extraktion und Normalisierung von Personeninformation für die Kombination mit Spatio-temporal Events , Bachelor Thesis, September 2013
  • Lisa Tuschner: Tag-Recommendation auf Basis von Flickr Daten , Bachelor Thesis, September 2013
  • Edward-Robert Tyercha: An Efficient Access Structure to 3D Mesh Data with Column Store Databases , Master Thesis, September 2013
  • Matthias Iacsa: Study of NetPLSA with respect to regularization in multidimensional spaces , Bachelor Thesis, Juli 2013
  • Timo Haas: Analyse und Exploration von temporalen Aspekten in OSM-Daten , Bachelor Thesis, June 2013
  • Julian Wintermayr: Evaluation of Semantic Web storage solutions focusing on Spatial and Temporal Queries , Bachelor Thesis, June 2013
  • Bertil Nestorius Baron: Aggregate Center Queries in Dynamic Road Networks , Diploma Thesis, Mathematics/Computer Science, Mai 2013
  • Viktor Bersch: Methoden zur temporalen Analyse und Exploration von Reviews , Bachelor Thesis, Mai 2013
  • Cornelius Ratsch: Adaptive String Dictionary Compression in In-Memory Column-Store Database Systems , Master Thesis, April 2013
  • Andreas Zerkowitz: Aufbau und Analyse eines Event-Repository aus Wikipedia , Bachelor Thesis, April 2013
  • Erik von der Osten: Influential Graph Properties of Collaborative-Filtering based Recommender Systems , Diploma Thesis, Mathematics/Computer Science, March 2013
  • Philipp Harth: Local Similarity in Geometric Graphs via Spectral Correspondence , Master Thesis, February 2013
  • Benjamin Kirchholtes: A General Solution for the Point Cloud Docking Problem , Master Thesis, February 2013
  • Manuel Kaufmann: Modellierung und Analyse heuristischer und linguistischer Methoden zur Eventextraktion , Bachelor Thesis, November 2012
  • Dennis Runz: Socio-Spatial Event Detection in Dynamic Interaction Graphs , Master Thesis, November 2012
  • Andreas Schuster: Compressed Data Structures for Tuple Identifiers in Column-Oriented Databases , Master Thesis, October 2012
  • Christian Kapp: Person Comparison based on Name Normalization and Spatio-temporal Events , Master Thesis, September 2012
  • Jörg Hauser: Algorithms for Model Assignment in Multi-Gene Phylogenetics , Master Thesis, August 2012
  • Andreas Klein: The CSGridFile for Managing and Querying Point Data in Column Stores , Master Thesis, August 2012
  • Andreas Runk: Dynamisches Rerouting in Strassennetzwerken , Bachelor Thesis, August 2012
  • Markus Neusinger: Erkennung von Sternströmen mit Hilfe moderner Clusteringverfahren , Diploma Thesis Physics/Computer Science, August 2012
  • Clemens Maier: Visualisierung und Modellierung des auf BRF+ aufgebauten Workflows , Bachelor Thesis, August 2012
  • Daniel Kruck: Investigation of Exact Graph and Tree Isomorphism Problems , Bachelor Thesis, July 2012
  • Andreas Fay: Correlation and Exploration of Events , Master Thesis, February 2012
  • Cornelius Ratsch: Extending Context-Aware Query Autocompletion , Bachelor Thesis, February 2012
  • Alexander Wilhelm: Spezifikation und Suche komplexer Routen in Strassennetzwerken , Diploma Thesis, Mathematics/Computer Science, February 2012
  • Britta Keller: Ein Event-basiertes Ähnlichkeitsmodell für biomedizinische Dokumente , Bachelor Thesis, February 2012
  • Simon Jarke: Effiziente Suche von Substrukturen in grossen geometrischen Graphen , Master Thesis, November 2011
  • Markus Kurz: Visualizing and Exploring Nonparametric Density Estimations of Context-aware Itemsets , Bachelor Thesis, October 2011
  • Frank Tobian: Modelle und Rankingverfahren zur Kombination von textueller und geographischer Suche , Bachelor Thesis, September 2011
  • Alexander Hochmuth: Efficient Computation of Hot Spots in Road Networks , Bachelor Thesis, June 2011
  • Selina Raschack: Spezifikation von Mustern auf räumlichen Daten und Suche von zugehörigen Musterinstanzen , Bachelor Thesis, Mai 2011
  • Bechir Ben Slama: Dynamische Erkennung von Ausreißern in Straßennetzwerken , Master Thesis, March 2011
  • Marcus Schaber: Scalable Routing using Spatial Database Systems , Bachelor Thesis, March 2011
  • Edward-Robert Tyercha: Co-Location Pattern Mining mit MapReduce , Bachelor Thesis, March 2011
  • Benjamin Hiller: Analyse und Verarbeitung von OpenStreetMap-Daten mit MapReduce , Bachelor Thesis, March 2011
  • Serge Thiery Akoa Owona: Apache Cassandra as Database System for the Activiti BPM Engine , Bachelor Thesis, February 2011
  • Maik Häsner: Bestimmung und Überwachung von Hot Spots in Strassennetzwerken , Master Thesis, October 2010.
  • Philipp Harth: Scale-Dependent Pattern Mining on Volunteered Geographic Information , Bachelor Thesis, August 2010.
  • Peter Artmann: Design and Implementation of a Rule-based Warning and Messaging System , Bachelor Thesis, June 2010.
  • Christopher Röcker: Analyse und Rekonstruktion unvollständiger Sensordaten , Bachelor Thesis, March 2010.
  • Andreas Klein: Eine Indexstruktur zur Verwaltung und Anfrage an Moving Regions auf Grundlage des TPR∗-Baumes , Bachelor Thesis, February 2010.
  • Benjamin Kirchholtes: Object Recognition and Extraction in Satellites Images using the Insight Segmentation and Registration Toolkit (ITK) , Bachelor Thesis, February 2010.
  • Fabian Rühle: Performance Analysis of Column-based Main Memory Databases , Bachelor Thesis, December 2009.
  • Pavel Popov: GeoDok: Extraktion und Visualisierung von Ortsinformationen in Dokumenten , Bachelor Thesis, Dezember 2009.

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UCSB Library

Open Access Dissertations

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UC Policy on Open Access for Theses and Dissertations

On March 25, 2020, the University of California issued a Policy on Open Access for Theses and Dissertations. The systemwide policy, which aligns with those already in place at individual UC campuses, “requires theses or dissertations prepared at the University to be (1) deposited into an open access repository, and (2) freely and openly available to the public, subject to a requested delay of access (“embargo”) obtained by the student.” Theses and dissertations already made open access can be read in eScholarship, UC’s open access repository and scholarly publishing platform.

Alexandria Digital Research Library (ADRL) 

Some UCSB open access theses and disserations are in ADRL. Due to copyright restrictions and a need to obtain permission from the authors, not all years are available.

eScholarship   

UC's institutional repository and journal publishing platform. Not all campuses have electronic theses and disseartations in eScholarship. Due to copyright restrictions and the need to obtain permissions from authors, not all years are available online. UC campuses began accepting electronic theses and disserations (ETDs) submissions different years. For details see  ETD Preservation and Access Sevice: California Digital Library . UCSB's open access ETDS are in  ADRL . 

Networked Digital Library of Theses and Dissertations

An international organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs). The website includes resources on how to find, create, and preserve ETDs; how to set up an ETD program; legal and technical questions; and the latest news and research in the ETD community.

Open Access Theses & Dissertations

OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions. OATD currently indexes 5,031,307 theses and dissertations.

PQDT Open (Proquest):

Provides the full text of open access dissertations and theses free of charge. The authors of these dissertations and theses have opted to publish as open access. 

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IMAGES

  1. 1: Basic components of cluster analysis 1 shows the components of

    cluster analysis bachelor thesis

  2. Cluster Analysis

    cluster analysis bachelor thesis

  3. Schematic of the typical cluster analysis steps.

    cluster analysis bachelor thesis

  4. (PDF) An introduction to cluster analysis

    cluster analysis bachelor thesis

  5. A Step-By-Step Guide To Cluster Analysis In Predictive Analytics

    cluster analysis bachelor thesis

  6. Cluster Analysis: What it is & How to Use It

    cluster analysis bachelor thesis

VIDEO

  1. A Gentle Introduction to Cluster Analysis

  2. Bachelor's Thesis: Safety analysis and configuration of ABB CRB 15000 (GoFa) cobot

  3. How to write thesis for Bachelor/Master/M.Phil/PhD

  4. Vector Analysis,Bachelor Level

  5. Cluster Based Routing Protocol Network Simulator VANET Projects

  6. This is My Bachelor Thesis Project (3D printing, Astrophotography)

COMMENTS

  1. PDF Comparing applicability of prevalent Clustering Algorithms for Document

    Comparing applicability of prevalent Clustering Algorithms for Document Clustering. Bachelor's Thesis submitted to Prof. Dr. Wolfgang K. H¨ardle and Prof. Dr. Nadja Klein Humboldt-Universit¨at zu Berlin School of Business and Economics Ladislaus von Bortkiewicz Chair of Statistics by Luisa Krawczyk (573814) in partial fulfillment of the ...

  2. PDF Clustering via Deep Dictionary Learning

    A thesis presented for the degree of Bachelor of Arts in Computer Science and Mathematics Harvard College March 26, 2021. ... Our first contribution is a novel theoretical analysis of a clustering algorithm developed in [TTT+21], which uses a highly structured recurrent neural network to perform sub-

  3. PDF Interpretable Cluster Analysis with Imputed Data

    Bachelor Thesis Econometrics and Operations Research Interpretable Cluster Analysis with Imputed Data Eva van Dijk(570467) Supervisor: R.S.H. Willemsen Second assessor: W. van den Heuvel Date final version: 1st July 2023 Abstract The use of machine learning programs is increasing but these programs often do not ex-plain how the results are ...

  4. Cluster Analysis with Batch Effect

    Clustering, as a fundamental process in data science, is frequently used in preliminary. data analysis. Batch effects are a powerful source of variation that can come from. many sources in data collection, and influence data. We propose a method to simul-. taneously remove batch effects and perform cluster analysis.

  5. PDF Refining Clustering with Feature Selection in High-dimensional Mixed

    Bachelor Thesis Econometrie en Operationele Research Refining Clustering with Feature Selection in High-dimensional Mixed Datasets Yuan Zhang(581010) ... cluster analysis. In this thesis, we build upon the work of the framework of Witten and Tibshirani (2010) to achieve sparse clustering. Then, by utilizing the K-prototypes algorithm by Huang

  6. PDF A two-step forecasting approach via cluster analysis

    data of European Union member states. This, to investigate if clustering in combination with the so-called joint lasso regression can improve forecasting performance compared to pooled regressions. 2.1 Cluster analysis In cluster analysis, one tries to obtain a set of disjoint clusters or groups based on the features and (hidden) patterns of ...

  7. (PDF) Data Clustering

    Thesis for: Bachelor's Degree; ... Cluster analysis is the study of methods and algorithms for grouping (clustering) objects according to measured characteristics and similarity. Category labels ...

  8. PDF ASSIGNMENT OF BACHELOR S THESIS

    ASSIGNMENT OF BACHELOR S THESIS Title: Approximation Algorithms for Clustering Student: Vladimir Ananyev Supervisor: Ing. Tomá Borovièka Study Programme: Informatics ... Agglomerative hierarchical clustering is a method of cluster analysis that aims to build a hierarchy of clusters. Instead of producing one clustering result, it

  9. PDF Bachelor Thesis

    Bachelor's Thesis title: Clustering Algorithms for Power Load Profiles Abstract: This Thesis is aimed at understanding what is clustering and the methods ... Many algorithms have been developed for cluster analysis for over the last 40 years and more will be developed in the future.

  10. PDF Hierarchical Clustering With Global Objectives: Approximation

    Hierarchical Clustering is an important tool for data analysis, used in diverse areas ranging from Phylogenetics in Biology to YouTube video recommendations and everything in between. ... theory on clustering. In this thesis, we study approximation algorithms and their limitations, making progress towards building such a theory for objective ...

  11. PDF Application of clustering analysis and sequence analysis on the

    ation computation structure. Cluster analysis is the unsupervised classiVcation of patterns (observations, data items or feature vectors) into groups (clusters). In this thesis we use the cluster analysis to group the CPU burst of a parallel application, the regions on each process in-between communication calls or calls to the parallel runtime.

  12. PDF Using Cluster Analysis, Cluster Validation, and Consensus Clustering to

    clustering attempts that form a cluster ensemble into a unified consensus answer, and can provide robust and accurate results [TJPA05]. In this study, using cluster analysis, cluster validation, and consensus clustering, we identify four clusters that are similar to - and further refine three of the five subtypes − defined in the DSM-IV.

  13. PDF Sampling for Large-Scale Clustering

    where sampling is useful to scale clustering to massive data sets. First, we consider seeding — the task of finding initial cluster centers — for k-means clustering. We propose two seeding algorithms, k-mc 2and Assumption-free k-mc , that use Markov chain Monte Carlo to efficiently approximate the widely used k-means++ seeding algorithm.

  14. PDF Bayesian Network Structure Learning: The Two-Step Clustering-Based

    Bachelor of Science of Sun Yat-sen University. May 2018 [Abstract] Structure learning is a fundamental and challenging issue in dealing with Bayesian net-works. In this thesis we introduce a two-step clustering-based strategy, which can au- ... [Keywords]: Bayesian Networks, Clustering Analysis, Two-Step Structure Learning, Algorithm ...

  15. PDF Validating the Clustering Quality of K-Means Clustering and

    Bachelor Thesis Econometrics and Operational Research Validating the Clustering Quality of K-Means ... archical Clustering Analysis [23] is a widely used combination of techniques in research. The work of [25] tries to optimize the Principal Component Analysis technique. The results of [25] show that optimization of the Principal Component

  16. PDF Design and Analysis of Clustering Algorithms for Numerical, Categorical

    This thesis is being submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy (PhD). Signed (Maria del Mar Suarez Alvarez - Candidate) ... 2.3 Some mathematical notions used in clustering analysis 16 2.3.1 Concepts of metric and distance 17 2.3.2 Concept of norm 18 2.3.3 Concepts of random variables ...

  17. PDF Clustering Analysis for Classifying Student Academic Performance in

    Clustering result of students' drop-out status. The CGPA attribute with a value of 3.01-3.49 was a distinct characteristic for clusters 0, 1, 3, and 4, where the highest percentage of students (12.78%) is in cluster 0. Only cluster 2 has recorded a CGPA value of below 2.00 for 10.57% of students (refer to Figure 7).

  18. PDF Chapter 4 Clustering Algorithms and Evaluations

    4.1.1 Introduction. Clustering is a standard procedure in multivariate data analysis. It is designed to explore an in-herent natural structure of the data objects, where objects in the same cluster are as similar as possible and objects in different clusters are as dissimilar as possible.

  19. Improved K-means clustering algorithms : a thesis presented in partial

    K-means clustering algorithm is designed to divide the samples into subsets with the goal that maximizes the intra-subset similarity and inter-subset dissimilarity where the similarity measures the relationship between two samples. As an unsupervised learning technique, K-means clustering algorithm is considered one of the most used clustering algorithms and has been applied in a variety of ...

  20. Bachelor's Thesis

    This bachelor's thesis conducts a cluster analysis of a phenotypic data set in order to detect class structures with the aid of "unsupervised learning". Therefore, the results of a distance-based cluster analysis, which is generally used for these problems, are compared with those of a model-based cluster analysis.

  21. Dissertations / Theses: 'Clustering analysis'

    This thesis is concerned with the application of the swarm intelligence methods in clustering analysis of datasets. The main objectives of the thesis are ∙ Take the advantage of a novel evolutionary algorithm, called artificial bee colony, to improve the capability of K-means in finding global optimum clusters in nonlinear partitional clustering problems.

  22. Bachelor and Master Theses

    David Jackson: Automated Extraction of Drug Analysis and Discovery Networks, Master Thesis Scientific Computing, May 2023. Christopher Brückner: Multi-Feature Clustering of Search Results, Master Thesis, April 2023. Paul Dietze: Formula Classification and Mathematical Token Embeddings , Bachelor Thesis, April 2023.

  23. Open Access Dissertations

    On March 25, 2020, the University of California issued a Policy on Open Access for Theses and Dissertations. The systemwide policy, which aligns with those already in place at individual UC campuses, "requires theses or dissertations prepared at the University to be (1) deposited into an open access repository, and (2) freely and openly ...