A Customer Purchase Incidence Model Applied to Recommender Services. - Andreas Geyer-Schulz; Michael Hahsler; Maximillian Jahn (WEBKDD, 2001)

Wissenschaftliche Recommendersysteme in Virtuellen Universitäten. - Andreas Geyer-Schulz; Michael Hahsler; Maximillian Jahn (UH, 2001)

Comparing Two Recommender Algorithms with the Help of Recommendations by Peers. - Andreas Geyer-Schulz; Michael Hahsler (WEBKDD, 2002)

Data Envelopment Analysis zur Unterstützung der Auswahl und Einführung von ERP-Systemen. - Edward Bernroider; Michael Hahsler; Stefan Koch 001; Volker Stix (Informationswirtschaft: Ein Sektor mit Zukunft, 2003)

Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde. - Andreas Geyer-Schulz; Michael Hahsler; Andreas W. Neumann; Anke Thede (Informationswirtschaft: Ein Sektor mit Zukunft, 2003)

Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges. - Michael Hahsler (J. Digit. Inf. Manag., 2003)

Reservation Price Estimation by Adaptive Conjoint Analysis. - Christoph Breidert; Michael Hahsler; Lars Schmidt-Thieme (GfKl, 2004)

Implications of Probabilistic Data Modeling for Mining Association Rules. - Michael Hahsler; Kurt Hornik; Thomas Reutterer (GfKl, 2005)

Discussion of a Large-Scale Open Source Data Collection Methodology. - Michael Hahsler; Stefan Koch 001 (HICSS, 2005)

Adaptive Conjoint Analysis for Pricing Music Downloads. - Christoph Breidert; Michael Hahsler (GfKl, 2006)

Building on the Arules Infrastructure for Analyzing Transaction Data with R. - Michael Hahsler; Kurt Hornik (GfKl, 2006)

A Model-Based Frequency Constraint for Mining Associations from Transaction Data. - Michael Hahsler (Data Min. Knowl. Discov., 2006)

New probabilistic interest measures for association rules. - Michael Hahsler; Kurt Hornik (Intell. Data Anal., 2007)

Optimizing Web Sites for Customer Retention - Michael Hahsler (CoRR, 2008)

Selective association rule generation. - Michael Hahsler; Christian Buchta; Kurt Hornik (Comput. Stat., 2008)

Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model. - Rao M. Kotamarti; Michael Hahsler; Douglas W. Raiford; Margaret H. Dunham (CIBCB, 2010)

A New Data Mining Model for Hurricane Intensity Prediction. - Yu Su 006; Sudheer Chelluboina; Michael Hahsler; Margaret H. Dunham (ICDM Workshops, 2010)

Analyzing taxonomic classification using extensible Markov models. - Rao M. Kotamarti; Michael Hahsler; Douglas Raiford; Monnie McGee; Margaret H. Dunham (Bioinform., 2010)

Novel data stream pattern mining report on the StreamKDD'10 workshop. - Margaret H. Dunham; Michael Hahsler; Myra Spiliopoulou (SIGKDD Explor., 2010)

Evaluating Hurricane Intensity Prediction Techniques in Real Time. - Vladimir Jovanovic; Margaret H. Dunham; Michael Hahsler; Yu Su 006 (ICDM Workshops, 2011)

Temporal Structure Learning for Clustering Massive Data Streams in Real-Time. - Michael Hahsler; Margaret H. Dunham (SDM, 2011)

The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. - Michael Hahsler; Sudheer Chelluboina; Kurt Hornik; Christian Buchta (J. Mach. Learn. Res., 2011)

A novel quasi-alignment-based method for discovering conserved regions in genetic sequences. - Anurag Nagar; Michael Hahsler (BIBM Workshops, 2012)

Biological pathway completion using network motifs and random walks on graphs. - Maya El Dayeh; Michael Hahsler (CIBCB, 2012)

Clustering Large Datasets Using Data Stream Clustering Techniques. - Matthew Bolaños; John Forrest; Michael Hahsler (GfKl, 2012)

SOStream: Self Organizing Density-Based Clustering over Data Stream. - Charlie Isaksson; Margaret H. Dunham; Michael Hahsler (MLDM, 2012)

Analyzing incomplete biological pathways using network motifs. - Maya El Dayeh; Michael Hahsler (SAC, 2012)

Genomic Sequence Fragment Identification using Quasi-Alignment. - Anurag Nagar; Michael Hahsler (BCB, 2013)

Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment. - Anurag Nagar; Michael Hahsler (BMC Bioinform., 2013)

Strand: fast sequence comparison using mapreduce and locality sensitive hashing. - Jake Drew; Michael Hahsler (BCB, 2014)

Association rule mining of gene ontology annotation terms for SGD. - Anurag Nagar; Michael Hahsler; Hisham Al-Mubaid (CIBCB, 2015)

Trajectory Segmentation Using Oblique Envelopes. - Sudheer Chelluboina; Michael Hahsler (IRI, 2015)

Polymorphic Malware Detection Using Sequence Classification Methods. - Jake Drew; Tyler Moore 001; Michael Hahsler (IEEE Symposium on Security and Privacy Workshops, 2016)

Clustering Data Streams Based on Shared Density between Micro-Clusters. - Michael Hahsler; Matthew Bolaños (IEEE Trans. Knowl. Data Eng., 2016)

Polymorphic malware detection using sequence classification methods and ensembles. - Jake Drew; Michael Hahsler; Tyler Moore 001 (EURASIP J. Inf. Secur., 2017)

An experimental comparison of seriation methods for one-mode two-way data. - Michael Hahsler (Eur. J. Oper. Res., 2017)

arulesViz: Interactive Visualization of Association Rules with R. - Michael Hahsler (R J., 2017)

Associative Classification in R: arc, arulesCBA, and rCBA. - Michael Hahsler; Ian Johnson; Tomás Kliegr; Jaroslav Kuchar (R J., 2019)

Swapped face detection using deep learning and subjective assessment. - Xinyi Ding 001; Zohreh Raziei; Eric C. Larson; Eli V. Olinick; Paul Krueger; Michael Hahsler (EURASIP J. Inf. Secur., 2020)

recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms. - Michael Hahsler (CoRR, 2022)

ARULESPY: Exploring Association Rules and Frequent Itemsets in Python. - Michael Hahsler (CoRR, 2023)

AI Content Self-Detection for Transformer-based Large Language Models. - Antônio Junior Alves Caiado; Michael Hahsler (CoRR, 2023)

Mining association rules for classification using frequent generator itemsets in arules package. - Makhlouf Ledmi; Mohammed El Habib Souidi; Michael Hahsler; Abdeldjalil Ledmi; Chafia Kara-Mohamed (Int. J. Data Min. Model. Manag., 2023)

A Recommender System Architecture for University Curriculum Advising. - Zerui Ma; Michael Hahsler; Peter Moore (AAAI Spring Symposia, 2025)

Pomdp: A Computational Infrastructure for Partially Observable Markov Decision Processes. - Michael Hahsler; Anthony R. Cassandra (R J., 2025)