Michael Hahsler

Michael Hahsler, Margaret H. Dunham, Douglas W. Raiford, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Discovering Patterns in Gene Ontology Using Association Rule Mining

Michael Hahsler, Michael Hahsler, 2018 .

Evaluation of Recommender Algorithms for an Internet Information Broker based on Simple Association Rules and on the Repeat-Buying Theory

Andreas Geyer-Schulz, Michael Hahsler, Michael Hahsler, 2002 .

Analyzing taxonomic classification using extensible Markov models

Michael Hahsler, Margaret H. Dunham, Douglas W. Raiford, 2010, Bioinform..

SOStream: Self Organizing Density-Based Clustering over Data Stream

Michael Hahsler, Margaret H. Dunham, Charlie Isaksson, 2012, MLDM.

Comparing Simple Association-Rules and Repeat-Buying Based Recommender Systems in a B2B Environment

Michael Hahsler, Anke Thede, Andreas Geyer-Schulz, 2003 .

Introduction to arules – A computational environment for mining association rules and frequent item sets

Kurt Hornik, Michael Hahsler, Bettina Grün, 2009 .

Implications of Probabilistic Data Modeling for Mining Association Rules

Kurt Hornik, Michael Hahsler, Thomas Reutterer, 2005, GfKl.

Extensible Markov Model for Modelling Temporal RelationshipsBetween Clusters

Michael Hahsler, Margaret H. Dunham, 2015 .

Clustering Data Streams Based on Shared Density between Micro-Clusters

Michael Hahsler, Matthew Bolaños, Michael Hahsler, 2016, IEEE Transactions on Knowledge and Data Engineering.

Implications of probabilistic data modeling for rule mining

Kurt Hornik, Michael Hahsler, Thomas Reutterer, 2005 .

Optimizing Web Sites for Customer Retention pdf

Michael Hahsler, 2008, ArXiv.

Infrastructure for Data Stream Mining

Michael Hahsler, Matthew Bolanos, John Forrest, 2015 .

arulesViz: Interactive Visualization of Association Rules with R

Michael Hahsler, Michael Hahsler, 2017, R J..

A Customer Purchase Incidence Model Applied to Recommender Services

Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn, 2001, WEBKDD.

A Quantitative Study of the Application of Design Patterns in Java

Michael Hahsler, 2003 .

Biological pathway completion using network motifs and random walks on graphs

Michael Hahsler, Maya El Dayeh, Michael Hahsler, 2012, 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Reservation Price Estimation by Adaptive Conjoint Analysis

Lars Schmidt-Thieme, Michael Hahsler, Christoph Breidert, 2004, GfKl.

TSP - A R-Package for the Traveling Salesperson Problem

Kurt Hornik, Michael Hahsler, Michael Hahsler, 2006 .

Discussion of a Large-Scale Open Source Data Collection Methodology

Michael Hahsler, Stefan Koch, Michael Hahsler, 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

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

Volker Stix, Michael Hahsler, Stefan Koch, 2003, Informationswirtschaft: Ein Sektor mit Zukunft.

A Quantitative Study of the Adoption of Design Patterns by Open Source Software Developers

Michael Hahsler, Michael Hahsler, 2005 .

Learning a Prediction Interval Model for Hurricane Intensities

Yu Su, Michael Hahsler, Margaret H. Dunham, 2011 .

A New Data Mining Model for Hurricane Intensity Prediction

Yu Su, Michael Hahsler, Margaret H. Dunham, 2010, 2010 IEEE International Conference on Data Mining Workshops.

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

Michael Hahsler, Michael Hahsler, 2017, Eur. J. Oper. Res..

Clustering Large Datasets Using Data Stream Clustering Techniques

Michael Hahsler, John Forrest, Matthew Bolaños, 2012, GfKl.

Visualizing Association Rules : Introduction to the R-extension Package arulesViz

Michael Hahsler, Sudheer Chelluboina, Michael Hahsler, 2011 .

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

Michael Hahsler, 2003, J. Digit. Inf. Manag..

Analyzing incomplete biological pathways using network motifs

Michael Hahsler, Maya El Dayeh, Michael Hahsler, 2012, SAC '12.

Applying Machine Learning Methods for Predicting Tropical Cyclone Rapid Intensification Events

Michael Hahsler, Hadil Shaiba, 2016 .

Building on the Arules Infrastructure for Analyzing Transaction Data with R

Kurt Hornik, Michael Hahsler, Michael Hahsler, 2006, GfKl.

SOFTWARE REUSE WITH ANALYSIS PATTERNS

Michael Hahsler, Andreas Geyer-Schulz, Michael Hahsler, 2002 .

Swapped face detection using deep learning and subjective assessment

Eric C. Larson, Michael Hahsler, Zohreh Raziei, 2019, EURASIP Journal on Information Security.

User-Centered Navigation Re-Design for Web- Based Information Systems

Michael Hahsler, Bernd Simon, 2000 .

Projektbericht ePubWU 2001-2003

Michael Hahsler, Michaela Putz, Georg Fessler, 2004 .

Automatic Labelling of References for Internet Information Systems

Michael Hahsler, Andreas Geyer-Schulz, Michael Hahsler, 2000 .

Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques

Myra Spiliopoulou, Michael Hahsler, Margaret H. Dunham, 2010, KDD 2010.

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

Michael Hahsler, Anurag Nagar, Anurag Nagar, 2013, BMC Bioinformatics.

The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets

Kurt Hornik, Michael Hahsler, Christian Buchta, 2011, J. Mach. Learn. Res..

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

Myra Spiliopoulou, Michael Hahsler, Margaret H. Dunham, 2011, SKDD.

Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde

Andreas Geyer-Schulz, Michael Hahsler, Anke Thede, 2003, Informationswirtschaft: Ein Sektor mit Zukunft.

Educational and scientific recommender systems: Designing the information channels of the virtual university

Michael Hahsler, Andreas Geyer-Schulz, Maximillian Jahn, 2001 .

rEMM: Extensible Markov Model for Data Stream Clustering in R

Michael Hahsler, Margaret H. Dunham, Michael Hahsler, 2010 .

Evaluating Hurricane Intensity Prediction Techniques in Real Time

Yu Su, Michael Hahsler, Margaret H. Dunham, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

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

Michael Hahsler, Michael Hahsler, 2006, Data Mining and Knowledge Discovery.

dbscan: Fast Density-Based Clustering with R

Michael Hahsler, Derek Doran, Matthew Piekenbrock, 2019, Journal of Statistical Software.

Tutorial: Mining Massive Data Streams

Michael Hahsler, Michael Hahsler, 2015 .

Wissenschaftliche Recommendersysteme in Virtuellen Universitäten

Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn, 2001, UH.

myVU: A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms

Michael Hahsler, Andreas Geyer-Schulz, Maximillian Jahn, 2000 .

Recommendations for Virtual Universities from Observed User Behavior

Michael Hahsler, Andreas Geyer-Schulz, Maximillian Jahn, 2002 .

Selective association rule generation

Kurt Hornik, Michael Hahsler, Christian Buchta, 2008, Comput. Stat..

An Analytics-Driven Approach for Optimal Individualized Diabetes Screening

Michael Hahsler, Hossein Kamalzadeh, Vishal Ahuja, 2021, SSRN Electronic Journal.

Targeted Genomic signature profiling with Quasi-alignment statistics

Michael Hahsler, Yuhang Wang, Douglas W. Raiford, 2009 .

Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries

Andreas Geyer-Schulz, Michael Hahsler, Anke Thede, 2012 .

An Experimental Comparison of Different Classifiers for Predicting Tropical Cyclone Rapid Intensification Events

Michael Hahsler, Hadil Shaiba, 2013 .

Introduction to TSP – Infrastructure for the Traveling Salesperson Problem

Kurt Hornik, Michael Hahsler, Michael Hahsler, 2007 .

Kurt Hornik, Michael Hahsler, Michael Hahsler, 2011 .

Mining Association Rules and Frequent Itemsets

Kurt Hornik, Michael Hahsler, Christian Buchta, 2015 .