Michael Hahsler

According to our database, Michael Hahsler authored at least 43 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

AI Content Self-Detection for Transformer-based Large Language Models.

Antônio Junior Alves Caiado, Michael Hahsler

CoRR, 2023

ARULESPY: Exploring Association Rules and Frequent Itemsets in Python.

Michael Hahsler

CoRR, 2023

2022

recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms.

Michael Hahsler

CoRR, 2022

2020

Swapped face detection using deep learning and subjective assessment.

Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler

EURASIP J. Inf. Secur., 2020

2019

Associative Classification in R: arc, arulesCBA, and rCBA.

Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar

R J., 2019

2017

arulesViz: Interactive Visualization of Association Rules with R.

Michael Hahsler

R J., 2017

An experimental comparison of seriation methods for one-mode two-way data.

Michael Hahsler

Eur. J. Oper. Res., 2017

Polymorphic malware detection using sequence classification methods and ensembles.

Jake Drew, Michael Hahsler, Tyler Moore

EURASIP J. Inf. Secur., 2017

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.

Jake Drew, Tyler Moore, Michael Hahsler

Proceedings of the 2016 IEEE Security and Privacy Workshops, 2016

2015

Trajectory Segmentation Using Oblique Envelopes.

Sudheer Chelluboina, Michael Hahsler

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Association rule mining of gene ontology annotation terms for SGD.

Anurag Nagar, Michael Hahsler, Hisham Al-Mubaid

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014

<i>Strand</i>: fast sequence comparison using mapreduce and locality sensitive hashing.

Jake Drew, Michael Hahsler

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment.

Anurag Nagar, Michael Hahsler

BMC Bioinform., 2013

Genomic Sequence Fragment Identification using Quasi-Alignment.

Anurag Nagar, Michael Hahsler

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Analyzing incomplete biological pathways using network motifs.

Maya El Dayeh, Michael Hahsler

Proceedings of the ACM Symposium on Applied Computing, 2012

SOStream: Self Organizing Density-Based Clustering over Data Stream.

Charlie Isaksson, Margaret H. Dunham, Michael Hahsler

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Clustering Large Datasets Using Data Stream Clustering Techniques.

Matthew Bolaños, John Forrest, Michael Hahsler

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Biological pathway completion using network motifs and random walks on graphs.

Maya El Dayeh, Michael Hahsler

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

A novel quasi-alignment-based method for discovering conserved regions in genetic sequences.

Anurag Nagar, Michael Hahsler

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

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

Temporal Structure Learning for Clustering Massive Data Streams in Real-Time.

Michael Hahsler, Margaret H. Dunham

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Evaluating Hurricane Intensity Prediction Techniques in Real Time.

Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Novel data stream pattern mining report on the StreamKDD'10 workshop.

Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou

SIGKDD Explor., 2010

Analyzing taxonomic classification using extensible Markov models.

Rao M. Kotamarti, Michael Hahsler, Douglas Raiford, Monnie McGee, Margaret H. Dunham

Bioinform., 2010

A New Data Mining Model for Hurricane Intensity Prediction.

Yu Su, Sudheer Chelluboina, Michael Hahsler, Margaret H. Dunham

Proceedings of the ICDMW 2010, 2010

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

Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

2008

Selective association rule generation.

Michael Hahsler, Christian Buchta, Kurt Hornik

Comput. Stat., 2008

Optimizing Web Sites for Customer Retention

Michael Hahsler

CoRR, 2008

2007

New probabilistic interest measures for association rules.

Michael Hahsler, Kurt Hornik

Intell. Data Anal., 2007

2006

A Model-Based Frequency Constraint for Mining Associations from Transaction Data.

Michael Hahsler

Data Min. Knowl. Discov., 2006

Building on the Arules Infrastructure for Analyzing Transaction Data with R.

Michael Hahsler, Kurt Hornik

Proceedings of the Advances in Data Analysis, 2006

Adaptive Conjoint Analysis for Pricing Music Downloads.

Christoph Breidert, Michael Hahsler

Proceedings of the Advances in Data Analysis, 2006

2005

Discussion of a Large-Scale Open Source Data Collection Methodology.

Michael Hahsler, Stefan Koch

Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

Implications of Probabilistic Data Modeling for Mining Association Rules.

Michael Hahsler, Kurt Hornik, Thomas Reutterer

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004

Reservation Price Estimation by Adaptive Conjoint Analysis.

Christoph Breidert, Michael Hahsler, Lars Schmidt-Thieme

Proceedings of the Classification, 2004

2003

Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges.

Michael Hahsler

J. Digit. Inf. Manag., 2003

Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde.

Andreas Geyer-Schulz, Michael Hahsler, Andreas W. Neumann, Anke Thede

Proceedings of the Informationswirtschaft: Ein Sektor mit Zukunft, 2003

Data Envelopment Analysis zur Unterstützung der Auswahl und Einführung von ERP-Systemen.

Edward Bernroider, Michael Hahsler, Stefan Koch, Volker Stix

Proceedings of the Informationswirtschaft: Ein Sektor mit Zukunft, 2003

2002

Comparing Two Recommender Algorithms with the Help of Recommendations by Peers.

Andreas Geyer-Schulz, Michael Hahsler

Proceedings of the WEBKDD 2002, 2002

2001

Wissenschaftliche Recommendersysteme in Virtuellen Universitäten.

Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn

Proceedings of the Unternehmen Hochschule, 2001

A Customer Purchase Incidence Model Applied to Recommender Services.

Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn

Proceedings of the WEBKDD 2001, 2001