article

The Weka solution to the 2004 KDD Cup

Author:

Bernhard PfahringerAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 6, Issue 2

Pages 117 - 119

https://doi.org/10.1145/1046456.1046474

Published: 01 December 2004 Publication History

Get Access

Abstract

This short communication describes the Weka solution for the 2004 KDD cup problems, mostly focusing on the bioinformatics problem, where this approach performed best among all submissions. Differences were not significant for the best three submissions, though. The identical setup trained for the physics problem achieved rank nineteen, which is still reasonable.

References

[1]

T. G. Dietterich, R. H. Lathrop, and T. Lozano-Perez. Solving the multiple-instance problem with axis-parallel rectangles. In: Artificial Intelligence, 89(1-2), pp. 31--71, 1997.

Digital Library

Google Scholar

[2]

E. Frank and X. Xu. Applying Propositional Learning Algorithms to Multi-instance data. Working Paper 06/03, Computer Science, University of Waikato, 2003.

Google Scholar

[3]

B. Pfahringer, G. Holmes, and C. Wang. Millions of Random Rules. In: Workshop on Advances in Inductive Rule Learning, 15th European Conference on Machine Learning (ECML), Pisa, 2004

Google Scholar

Cited By

View all

Tomal JWelch WZamar R(2022)Robust ranking by ensembling of diverse models and assessment metricsJournal of Statistical Computation and Simulation10.1080/00949655.2022.209387393:1(77-102)Online publication date: 10-Jul-2022
https://doi.org/10.1080/00949655.2022.2093873
Fu Y(2014)Kernel Methods and Applications in BioinformaticsSpringer Handbook of Bio-/Neuroinformatics10.1007/978-3-642-30574-0_18(275-285)Online publication date: 2014
https://doi.org/10.1007/978-3-642-30574-0_18
Fu YPan RYang QGao W(2011)Query-adaptive ranking with support vector machines for protein homology predictionProceedings of the 7th international conference on Bioinformatics research and applications10.5555/2009164.2009195(320-331)Online publication date: 27-May-2011
https://dl.acm.org/doi/10.5555/2009164.2009195
Show More Cited By

The Weka solution to the 2004 KDD Cup
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
    2. Machine learning approaches

Recommendations

KDD Cup and workshop 2007
Special issue on visual analytics

The KDD Cup is the oldest of the many data mining competitions that are now popular [1]. It is an integral part of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). In 2007, the traditional KDD Cup competition ...
KDD CUP-2005 report: facing a great challenge

The KDD-Cup 2005 Competition was held in conjunction with the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The task of the KDD-Cup 2005 competition was to classify 800,000 internet user search queries into 67 ...
KDD/MDM 2006: The 7^th KDD Multimedia Data Mining workshop report

This is a report of the 7^th ACM KDD/MDM Workshop on Multimedia Data Mining held in Philadelphia, PA, USA, on 20 August 2006. This report outlines the motivations to hold the workshop, the response we have received in terms of paper submissions and ...

Comments

Information & Contributors

Information

Published In

ACM SIGKDD Explorations Newsletter Volume 6, Issue 2

December 2004

161 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/1046456

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2004

Published in SIGKDD Volume 6, Issue 2

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
545
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Tomal JWelch WZamar R(2022)Robust ranking by ensembling of diverse models and assessment metricsJournal of Statistical Computation and Simulation10.1080/00949655.2022.209387393:1(77-102)Online publication date: 10-Jul-2022
https://doi.org/10.1080/00949655.2022.2093873
Fu Y(2014)Kernel Methods and Applications in BioinformaticsSpringer Handbook of Bio-/Neuroinformatics10.1007/978-3-642-30574-0_18(275-285)Online publication date: 2014
https://doi.org/10.1007/978-3-642-30574-0_18
Fu YPan RYang QGao W(2011)Query-adaptive ranking with support vector machines for protein homology predictionProceedings of the 7th international conference on Bioinformatics research and applications10.5555/2009164.2009195(320-331)Online publication date: 27-May-2011
https://dl.acm.org/doi/10.5555/2009164.2009195
Fu YPan RYang QGao W(2011)Query-Adaptive Ranking with Support Vector Machines for Protein Homology PredictionBioinformatics Research and Applications10.1007/978-3-642-21260-4_31(320-331)Online publication date: 2011
https://doi.org/10.1007/978-3-642-21260-4_31

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

KDD Cup and workshop 2007

KDD CUP-2005 report: facing a great challenge

KDD/MDM 2006: The 7^th KDD Multimedia Data Mining workshop report

Comments

Published In

Publisher

Publication History

Check for updates

Qualifiers

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Recommendations

KDD Cup and workshop 2007

KDD CUP-2005 report: facing a great challenge

KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations

KDD/MDM 2006: The 7^th KDD Multimedia Data Mining workshop report