 | 2011 |
| 24 |  | Vladimir Jovanovic,
Margaret H. Dunham,
Michael Hahsler,
Yu Su:
Evaluating Hurricane Intensity Prediction Techniques in Real Time.
ICDM Workshops 2011: 23-29 |
| 23 |  | Michael Hahsler,
Margaret H. Dunham:
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time.
SDM 2011: 664-675 |
| 22 |  | Michael Hahsler,
Sudheer Chelluboina,
Kurt Hornik,
Christian Buchta:
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets.
Journal of Machine Learning Research 12: 2021-2025 (2011) |
| 2010 |
| 21 |  | 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: 1-8 |
| 20 |  | Yu Su,
Sudheer Chelluboina,
Michael Hahsler,
Margaret H. Dunham:
A New Data Mining Model for Hurricane Intensity Prediction.
ICDM Workshops 2010: 98-105 |
| 19 |  | Rao M. Kotamarti,
Michael Hahsler,
Douglas Raiford,
Monnie McGee,
Margaret H. Dunham:
Analyzing taxonomic classification using extensible Markov models.
Bioinformatics 26(18): 2235-2241 (2010) |
| 18 |  | Margaret H. Dunham,
Michael Hahsler,
Myra Spiliopoulou:
Novel data stream pattern mining report on the StreamKDD'10 workshop.
SIGKDD Explorations 12(2): 54-55 (2010) |
| 2008 |
| 17 |  | Michael Hahsler,
Christian Buchta,
Kurt Hornik:
Selective association rule generation
CoRR abs/0803.0954: (2008) |
| 16 |  | Michael Hahsler,
Kurt Hornik:
New probabilistic interest measures for association rules
CoRR abs/0803.0966: (2008) |
| 15 |  | Michael Hahsler:
Optimizing Web Sites for Customer Retention
CoRR abs/0803.1104: (2008) |
| 14 |  | Michael Hahsler:
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
CoRR abs/0803.3224: (2008) |
| 2007 |
| 13 |  | Michael Hahsler,
Kurt Hornik:
New probabilistic interest measures for association rules.
Intell. Data Anal. 11(5): 437-455 (2007) |
| 2006 |
| 12 |  | Christoph Breidert,
Michael Hahsler:
Adaptive Conjoint Analysis for Pricing Music Downloads.
GfKl 2006: 409-416 |
| 11 |  | Michael Hahsler,
Kurt Hornik:
Building on the Arules Infrastructure for Analyzing Transaction Data with R.
GfKl 2006: 449-456 |
| 10 |  | Michael Hahsler:
A Model-Based Frequency Constraint for Mining Associations from Transaction Data.
Data Min. Knowl. Discov. 13(2): 137-166 (2006) |
| 2005 |
| 9 |  | Michael Hahsler,
Kurt Hornik,
Thomas Reutterer:
Implications of Probabilistic Data Modeling for Mining Association Rules.
GfKl 2005: 598-605 |
| 8 |  | Michael Hahsler,
Stefan Koch:
Discussion of a Large-Scale Open Source Data Collection Methodology.
HICSS 2005 |
| 2004 |
| 7 |  | Christoph Breidert,
Michael Hahsler,
Lars Schmidt-Thieme:
Reservation Price Estimation by Adaptive Conjoint Analysis.
GfKl 2004: 569-576 |
| 2003 |
| 6 |  | 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: 11-26 |
| 5 |  | Andreas Geyer-Schulz,
Michael Hahsler,
Andreas W. Neumann,
Anke Thede:
Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde.
Informationswirtschaft: Ein Sektor mit Zukunft 2003: 43-57 |
| 4 |  | Michael Hahsler:
Integrating Digital Document Acquisition into a University Library: A Case Study of Social and Organizational Challenges.
JDIM 1(4): 162-171 (2003) |
| 2002 |
| 3 |  | Andreas Geyer-Schulz,
Michael Hahsler:
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers.
WEBKDD 2002: 137-158 |
| 2001 |
| 2 |  | Andreas Geyer-Schulz,
Michael Hahsler,
Maximillian Jahn:
Wissenschaftliche Recommendersysteme in Virtuellen Universitäten.
UH 2001: 101-114 |
| 1 |  | Andreas Geyer-Schulz,
Michael Hahsler,
Maximillian Jahn:
A Customer Purchase Incidence Model Applied to Recommender Services.
WEBKDD 2001: 25-47 |