article

KDD Cup 2001 report

Authors:

Christos Hatzis,

Hisashi Hayashi,

Mark-A. Krogel,

Shinichi Morishita,

Jun SeseAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 3, Issue 2

Pages 47 - 64

https://doi.org/10.1145/507515.507523

Published: 01 January 2002 Publication History

Abstract

This paper presents results and lessons from KDD Cup 2001. KDD Cup 2001 focused on mining biological databases. It involved three cutting-edge tasks related to drug design and genomics.

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Lubarsky YTönshof JGrohe MKimelfeld BFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Selecting Walk Schemes for Database EmbeddingProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615052(1677-1686)Online publication date: 21-Oct-2023
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Index Terms

KDD Cup 2001 report

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 3, Issue 2

January 2002

81 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/507515

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Copyright © 2002 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2002

Published in SIGKDD Volume 3, Issue 2

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Cited By

Lubarsky YTönshof JGrohe MKimelfeld BFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)Selecting Walk Schemes for Database EmbeddingProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615052(1677-1686)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3583780.3615052
Toenshoff JFriedman NGrohe MKimelfeld B(2023)Stable Tuple Embeddings for Dynamic Databases2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00103(1286-1299)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00103
Tomar VMehra P(2023)Deep Learning Bi-LSTM Model for Intrusion Detection in IoT2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)10.1109/ICAC3N60023.2023.10541673(1342-1347)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICAC3N60023.2023.10541673
Jung TKim J(2023)A new support vector machine for categorical featuresExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.120449229:PAOnline publication date: 13-Jul-2023
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Zhao ZCastro Fernandez RIves ZBonifati AEl Abbadi A(2022)Leva: Boosting Machine Learning Performance with Relational Embedding Data AugmentationProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3517891(1504-1517)Online publication date: 10-Jun-2022
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Muñoz‐Texzocotetla OMacKinney‐Romero R(2019)An evolutionary‐based approach for dealing with numerical and categorical attributes in ILPComputational Intelligence10.1111/coin.1221535:4(827-857)Online publication date: 20-May-2019
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Wang SLi XYe YLi YHuang XDu X(2017)A generative model with hypergraph regularizers for protein function prediction2017 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN.2017.7966001(1289-1296)Online publication date: May-2017
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Paes AZaverucha GCosta V(2017)On the use of stochastic local search techniques to revise first-order logic theories from examplesMachine Language10.1007/s10994-016-5595-3106:2(197-241)Online publication date: 1-Feb-2017
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Thangaraj MVijayalakshmi C(2016)A Multi relational Framework for Knowledge Classification using Fuzzy Decision Tree in Biological SystemProceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society10.1145/2925995.2926026(1-8)Online publication date: 25-Jul-2016
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