Michael Hahsler

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 12

Top Topics

Association Rules

Top Venues

EURASIP J. Inf. Secur.

Publications

Antônio Junior Alves Caiado, Michael Hahsler
AI Content Self-Detection for Transformer-based Large Language Models. CoRR (2023)
Makhlouf Ledmi, Mohammed El Habib Souidi, Michael Hahsler, Abdeldjalil Ledmi, Chafia Kara-Mohamed
Mining association rules for classification using frequent generator itemsets in arules package. Int. J. Data Min. Model. Manag. 15 (2) (2023)
Michael Hahsler
ARULESPY: Exploring Association Rules and Frequent Itemsets in Python. CoRR (2023)
Michael Hahsler
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms. CoRR (2022)
Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
Swapped face detection using deep learning and subjective assessment. EURASIP J. Inf. Secur. 2020 (2020)
Michael Hahsler, Ian Johnson, Tomás Kliegr, Jaroslav Kuchar
Associative Classification in R: arc, arulesCBA, and rCBA. R J. 11 (2) (2019)
Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
Swapped Face Detection using Deep Learning and Subjective Assessment. CoRR (2019)
Jake Drew, Michael Hahsler, Tyler Moore
Polymorphic malware detection using sequence classification methods and ensembles. EURASIP J. Inf. Secur. 2017 (2017)
Michael Hahsler
An experimental comparison of seriation methods for one-mode two-way data. Eur. J. Oper. Res. 257 (1) (2017)
Michael Hahsler
arulesViz: Interactive Visualization of Association Rules with R. R J. 9 (2) (2017)
Jake Drew, Tyler Moore, Michael Hahsler
Polymorphic Malware Detection Using Sequence Classification Methods. IEEE Symposium on Security and Privacy Workshops (2016)
Michael Hahsler, Matthew Bolaños
Clustering Data Streams Based on Shared Density between Micro-Clusters. IEEE Trans. Knowl. Data Eng. 28 (6) (2016)
Sudheer Chelluboina, Michael Hahsler
Trajectory Segmentation Using Oblique Envelopes. IRI (2015)
Anurag Nagar, Michael Hahsler, Hisham Al-Mubaid
Association rule mining of gene ontology annotation terms for SGD. CIBCB (2015)
Jake Drew, Michael Hahsler
: fast sequence comparison using mapreduce and locality sensitive hashing. BCB (2014)
Anurag Nagar, Michael Hahsler
Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment. BMC Bioinform. 14 (S-11) (2013)
Anurag Nagar, Michael Hahsler
Genomic Sequence Fragment Identification using Quasi-Alignment. BCB (2013)
Charlie Isaksson, Margaret H. Dunham, Michael Hahsler
SOStream: Self Organizing Density-Based Clustering over Data Stream. MLDM (2012)
Anurag Nagar, Michael Hahsler
A novel quasi-alignment-based method for discovering conserved regions in genetic sequences. BIBM Workshops (2012)
Matthew Bolaños, John Forrest, Michael Hahsler
Clustering Large Datasets Using Data Stream Clustering Techniques. GfKl (2012)
Maya El Dayeh, Michael Hahsler
Analyzing incomplete biological pathways using network motifs. SAC (2012)
Maya El Dayeh, Michael Hahsler
Biological pathway completion using network motifs and random walks on graphs. CIBCB (2012)
Vladimir Jovanovic, Margaret H. Dunham, Michael Hahsler, Yu Su
Evaluating Hurricane Intensity Prediction Techniques in Real Time. ICDM Workshops (2011)
Michael Hahsler, Margaret H. Dunham
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time. SDM (2011)
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. J. Mach. Learn. Res. 12 (2011)
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford, Monnie McGee, Margaret H. Dunham
Analyzing taxonomic classification using extensible Markov models. Bioinform. 26 (18) (2010)
Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou
Novel data stream pattern mining report on the StreamKDD'10 workshop. SIGKDD Explor. 12 (2) (2010)
Yu Su, Sudheer Chelluboina, Michael Hahsler, Margaret H. Dunham
A New Data Mining Model for Hurricane Intensity Prediction. ICDM Workshops (2010)
Rao M. Kotamarti, Michael Hahsler, Douglas W. Raiford, Margaret H. Dunham
Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model. CIBCB (2010)
Michael Hahsler
A Model-Based Frequency Constraint for Mining Associations from Transaction Data CoRR (2008)
Michael Hahsler, Christian Buchta, Kurt Hornik
Selective association rule generation CoRR (2008)
Michael Hahsler
Optimizing Web Sites for Customer Retention CoRR (2008)
Michael Hahsler, Kurt Hornik
New probabilistic interest measures for association rules CoRR (2008)
Michael Hahsler, Christian Buchta, Kurt Hornik
Selective association rule generation. Comput. Stat. 23 (2) (2008)
Michael Hahsler, Kurt Hornik
New probabilistic interest measures for association rules. Intell. Data Anal. 11 (5) (2007)
Michael Hahsler
A Model-Based Frequency Constraint for Mining Associations from Transaction Data. Data Min. Knowl. Discov. 13 (2) (2006)
Christoph Breidert, Michael Hahsler
Adaptive Conjoint Analysis for Pricing Music Downloads. GfKl (2006)
Michael Hahsler, Kurt Hornik
Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl (2006)
Michael Hahsler, Kurt Hornik, Thomas Reutterer
Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl (2005)
Michael Hahsler, Stefan Koch
Discussion of a Large-Scale Open Source Data Collection Methodology. HICSS (2005)
Christoph Breidert, Michael Hahsler, Lars Schmidt-Thieme
Reservation Price Estimation by Adaptive Conjoint Analysis. GfKl (2004)
Edward Bernroider, Michael Hahsler, Stefan Koch, Volker Stix
Data Envelopment Analysis zur Unterstützung der Auswahl und Einführung von ERP-Systemen. Informationswirtschaft: Ein Sektor mit Zukunft (2003)
Michael Hahsler
Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges. J. Digit. Inf. Manag. 1 (4) (2003)
Andreas Geyer-Schulz, Michael Hahsler, Andreas W. Neumann, Anke Thede
Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde. Informationswirtschaft: Ein Sektor mit Zukunft (2003)
Andreas Geyer-Schulz, Michael Hahsler
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers. WEBKDD (2002)
Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn
A Customer Purchase Incidence Model Applied to Recommender Services. WEBKDD (2001)
Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn
Wissenschaftliche Recommendersysteme in Virtuellen Universitäten. UH (2001)