ACM Special Interest Group on Knowledge Discovery and Data Mining

Previous Issues

Volume 1, Issue 1	June 1999
Volume 1, Issue 2	January 2000
Volume 2, Issue 1	June 2000
Volume 2, Issue 2	December 2000
Volume 3, Issue 1	July 2001
Volume 3, Issue 2	January 2002
Volume 4, Issue 1	June 2002
Volume 4, Issue 2	December 2002
Volume 5, Issue 1	July 2003
Volume 5, Issue 2	December 2003
Volume 6, Issue 1	June 2004
Volume 6, Issue 2	December 2004
Volume 7, Issue 1	June 2005
Volume 7, Issue 2	December 2005
Volume 8, Issue 1	June 2006
Volume 8, Issue 2	December 2006
Volume 9, Issue 1	June 2007
Volume 9, Issue 2	December 2007

Ref
http://kdd.org/explorations/archive.php

December 2007, Volume 9, Issue 2

Guest Editors	Editor-In-Chief	Associate Editor
Daniel Keim University of Konstanz keim at inf.uni-konstanz.de	Ramakrishnan Srikant Google explorations at rsrikant.com	Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
Joern Schneidewind University of Konstanz jschneidewind at acm.org		Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca

Letter from the editor-in-chief

1

Ramakrishnan Srikant

Special Issue: Visual Analytics

Introduction to the Special Issue on Visual Analytics

3

Daniel Keim, Joern Schneidewind

VISA: Visual Subspace Clustering Analysis

5

Ira Assent, Ralph Krieger, Emmanuel Mueller, Thomas Seidl

Visual Analysis of Dynamic Group Membership in Temporal Social Networks

13

Hyunmo Kang, Lise Getoor, Lisa Singh

Managing discoveries in the visual analytics process

22

Di Yang, Zaixian Xie, Elke A. Rundensteiner and Matthew Ward

TrajectoryBased Visual Analysis of Large Financial Time Series Data

30

Tobias Schreck, Tatiana Tekusova, Dieter Fellner, Joern Kohlhammer

Visual Analytics Tools for Analysis of Movement Data

38

Gennady Andrienko, Natalia Andrienko, Stefan Wrobel

Interviews

Interview with Jon Kleinberg

47

Gregory Piatetsky

KDD 2007 Reports: KDD Cup and Workshops

KDD Cup and Workshop 2007

51

James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth and Domonkos Tikk

KDD Cup 2007 Task 1 Winner Report

53

Miklos Kurucz Andras A. Benczur Tamas Kiss, Istvan Nagy Adrienn Szabo Balazs Torma

A classical predictive modeling approach for Task "Who rated what?" of the KDD CUP 2007

57

Jorge Sueiras, Alfonso Salafranca and Jose Luis Florez

Predicting Who Rated What in Largescale Datasets

62

Yan Liu and Zhenzhen Kou

Making the Most of Your Data: KDD Cup 2007 "How Many Ratings" Winner's Report

66

Saharon Rosset, Claudia Perlich and Yan Liu

A combination of approaches to solve Task "How Many Ratings?" of the KDD CUP 2007

70

Jorge Sueiras, Daniel Velez and Jose Luis Florez

Lessons from the Netflix Prize Challenge

75

Robert M. Bell and Yehuda Koren

Major components of the Gravity Recommendation System

80

Gabor Takacs, Istvan Pilaszy, Bottyan Nemeth and Domonkos Tikk

DDDM2007: Domain Driven Data Mining

84

Longbing Cao, Philip S. Yu, Chengqi Zhang, Yanchang Zhao, Graham Williams

WebKDD/SNAKDD 2007: Web Mining and Social Network Analysis - Post Workshop Report

87

Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mombaster, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui and Andrew McCallum

PinKDD'07: Privacy, Security, and Trust in KDD PostWorkshop Report

93

Francesco Bonchi, Elena Ferrari, Bradley Malin and Yucel Saygin

ADKDD2007: Data Mining and Audience Intelligence for Advertising

96

Ying Li, Arun C. Surendran and Dou Shen

Selected Article from ADKDD'07

More Bang for Their Bucks: Assessing New Features for Online Advertisers

100

Diane Lambert and Daryl Pregibon

June 2007, Volume 9, Issue 1

Guest Editors	Editor-In-Chief	Associate Editor
Raymond T. Ng University of British Columbia rng at cs.ubc.ca	Ramakrishnan Srikant Google explorations at rsrikant.com	Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
Jian Pei Simon Fraser University jpei at cs.sfu.ca		Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca

Special Issue: Data Mining for Health Informatics

Introduction to the Special Issue on Data Mining for Health Informatics

1

Raymond T. Ng, Jian Pei

Enabling More Sophisticated Gene Expression Analysis for Understanding Diseases and Optimizing Treatments

3

Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong

Novel Approaches for Small Biomolecule Classification and Structural Similarity Search

14

Emre Karakoc, Artem Cherkasov, S. Cenk Sahinalp

Drug Exposure Side Effects from Mining Pregnancy Data

22

Yu Chen, Lars Henning Pedersen, Wesley W. Chu, Jorn Olsen

Automatic in vivo Microscopy Video Mining for Leukocytes

30

Chengcui Zhang, Wei-Bang Chen, Lin Yang, Xin Chen, John K. Johnstone

Interviews

Interview with Simon Funk

38

Gregory Piatetsky

Contributed Articles

Unsupervised pattern mining from symbolic temporal data

41

Fabian Moerchen

Reports

5th International Workshop on Knowledge Discovery in Inductive Databases (KDID06): Workshop Report

56

Saso Dzeroski, Jan Struyf

December 2006, Volume 8, Issue 2

Editor-In-Chief	Associate Editor
Ramakrishnan Srikant Google explorations at rsrikant.com	Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
	Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca

Letter from the Editor-in-chief

1

R. Srikant

Selected KDD Workshop Papers

Mining Motion Patterns using Color Motion Map Clustering

3

Chih Lai, Taras Rafa, Dwight E. Nelson

Clientside Web Mining for Community Formation in PeertoPeer Environments

11

Kun Liu, Kanishka Bhaduri, Kamalika Das, Phuong Nguyen and Hillol Kargupta

UtilityBased Anonymization for Privacy Preservation with Less Information Loss

21

J. Xu, W. Wang, J. Pei, X. Wang, B. Shi, A. W. Fu

Maximizing Classifier Utility when Training Data is Costly

31

G. M. Weiss and Y. Tian

KDD 2006 Reports: KDD Cup, Panel and Workshops

On the Medical Frontier: The 2006 KDD Cup Competition and Results

39

T. Lane

Modifying Boosted Trees to Improve Performance on Task 1 of the 2006 KDD Challenge Cup

47

R. M. Bell, P. G. Haffner, C. Volinsky

Voting with a Parameterized Veto Strategy: Solving the KDD Cup 2006 Problem by means of a Classifier Committee

53

D. Tikk, Z. T. Kardkovacs and F. P. Szidarovszky

Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundery-Based Classification

63

W. Perrizo and A. Perera

What Are The Grand Challenges for Data Mining? KDD-2006 Panel Report

70

G-P. Shapiro, C. Djeraba, L. Getoor, R. Grossman, R. Feldman and M. Zaki

BIOKDD06: Data Mining in Bioinformatics

78

M. J. Zaki, G. Karypis, J. Yang

Data Mining for Business Applications

79

R. Ghani and C. Soares

KDD Workshop on Data Mining Standards, Services and Platforms (DMSSP) 2006

82

R. Grossman

WebKDD 2006 . Web Mining and Web Usage Analysis Post-Workshop Report

84

O. Nasraoui, M. Spiliopoulou, J. Srivastava, B. Mobasher and B. Masand

Network Reconstruction from Dynamic Data

90

K.P. Unnikrishnan, N. Ramakrishnan, P.S. Sastry, and R. Uthurusamy

KDD/MDM 2006: The 7th KDD Multimedia Data Mining Workshop Report

92

Z. Zhang, F. Masseglia, R. Jain and A. Del Bimbo

KDD2006 Workshop Report Theory and Practice of Temporal Data Mining

96

T. Li and C-S. Perng

UBDM 2006: Utility-Based Data Mining 2006 Workshop Report

98

B. Zadrozny, G. Weiss and M. Saar-Tsechansky

Contributed Article

Can Exclusive Clustering on Streaming Data be Achieved?

102

M. E. Orlowska, X. Sun and X. Li

June 2006, Volume 8, Issue 1

Guest Editors	Editor-In-Chief	Associate Editor
Gabor Melli PredictionWorks gmelli at predictionworks.com	Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
Osmar R. Zaiane University of Alberta zaiane at cs.ualberta.ca		Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca
Brendan Kitts Microsoft bkitts at excite.com

Special Issue: Successful Real-World Data Mining Applications

Introduction to the Special Issue on Successful Real-World Data Mining Applications

1

G. Melli, O. R. Zaiane, B. Kitts

Data Mining for Improved Cardiac Care

3

R. B. Rao, S. Krishnan and R. S. Niculescu

Closing the Gap: Automated Screening of Tax Returns to Identify Egregious Tax Shelters

11

D. DeBarr and Z. Eyler-Walker

Blocking Objectionable Web Content by Leveraging Multiple Information Source

17

N. Agarwal, H. Liu, and J. Zhang

Championing an LTV Model for an LTC

27

E. Freeman and G. Melli

Mining Source Code Elements for Comprehending Object-Oriented Systems and Evaluating Their Maintainability

33

Y. Kanellopoulos, T. Dimopulos, C. Tjortjis and C. Makris

Text Mining for Product Attribute Extraction

41

R. Ghani, K. Probst, Y. Liu, M. Krema and A. Fano

Service Quality Improvement Through Business Process Management based on Data Mining

49

S-H. Ha and S-C. Park

Market Basket Recommendations for the HP SMB Store

57

P. Singh, A. C. Thomas and A. Sepulveda

Revenue Recovering with Insolvency Prevention on a Brazilian Telecom Operator

65

C. A. Pinheiro, A. G. Evsukoff and N. F. Ebecken

Data-driven Modeling and Prediction of Acute Toxicity of Pesticide Residues

71

F. Lemke, E. Benfenati, J-A. Mueller

Reports

Spatial Data Mining to Support Pandemic Preparedness

80

C. Bailey-Kellogg, N. Ramakrishnan and M. V. Marathe

Contributed Articles

The Problem of Disguised Missing Data

83

R. K. Pearson

Frequent closed itemset based algorithms: A thorough structural and analytical survey

93

S. Ben Yahia, T. Hamrouni and E. M. Nguifo

December 2005, Volume 7, Issue 2

Guest Editors	Editor-In-Chief	Associate Editor
Lise Getoor University of Maryland getoor at cs.umd.edu	Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Usama Fayyad Yahoo!
Christopher P. Diehl Johns Hopkins University Chris.Diehl at jhuapl.edu		Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
		Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca

Letter from the editor-in-chief

S. Sarawagi

Special Issue: Link Mining

Introduction: Special Issue on Link Mining

1

L. Getoor and C. P. Diehl

Link Mining: A Survey

3

L. Getoor and C. P. Diehl

Sampling Algorithms for Pure Network Topologies

13

E. M. Airoldi and K. M. Carley

Prediction and Ranking Algorithms for Event-Based Network Data

23

J. O'Madadhain, J. Hutchins and P. Smyth

Dynamic Social Network Analysis using Latent Space Models

31

P. Sarkar and A. Moore

The Case for Anomalous Link Discovery

41

M. J. Rattigan and D. Jensen

Relevance Search and Anomaly Detection in Bipartite Graphs

48

J. Sun, H. Qu, D. Chakrabarti and C. Faloutsos

Discovering Informative Connection Subgraphs in Multi-Relational Graphs

56

C. Ramakrishnan, W. H. Milnor, M. Perry and A. P. Sheth

Comparison of Graph-Based and Logic-Based Multi-Relational Data Mining

64

N. S. Ketkar, L. B. Holder and D. J. Cook

Privacy-Enhanced Linking

72

L. Sweeney

Link Mining Applications: Progress and Challenges

76

T. E. Senator

Reports

Interview with Usama Fayyad, Yahoo Chief Data Officer

84

G. Piatetsky-Shapiro

KDD CUP-2005 Report: Facing a Great Challenge

91

Y. Li, Z. Zheng, H. Dai

Q2C@UST: Our Winning Solution to Query Classification in KDDCUP 2005

100

D. Shen, R. Pan, J.-T. Sun, J. J. Pan, K. Wu, J. Yin and Q. Yang

The Ferrety Algorithm for the KDD Cup 2005 Problem

111

Z. T. Kardkovacs, D. Tikk, Z. Bansaghi

Classifying Search Engine Queries Using the Web as Background Knowledge

117

D. Vogel, S. Bickel, P. Haider, R. Schimpfky, P. Siemen, S. Bridges, T. Scheffer

KDD-2005 Workshop Report Link Discovery: Issues, Approaches and Application

123

J. Adibi, P. Pantel, M. Grobelnik, D. Mladenic

MultiRelational Data Mining 2005: Workshop Report

126

H. Blockeel, S. Dzeroski

BIOKDD 2005 Workshop Report

129

S. Parthasarathy, W. Wang, M. Zaki

Data Mining Methods for Anomaly Detection KDD-2005 Workshop Report

132

D. Margineantu, S. Bay, P. Chan, T. Lane

Data Mining Standards, Services and Platforms 2005 Workshop Report

137

R. Pechter

WebKDD 2005 - Web Mining and Web Usage Analysis Post-Workshop report

139

O. Nasraoui, O. R. Zaiane, M. Spiliopoulou, B. Mobasher, B. Masand, P. S. Yu

Open Source Data Mining: Workshop Report

143

B. Goethals, S. Nijssen, M. J. Zaki

Report on UBDM-05: Workshop on Utility-Based Data Mining

145

G. Weiss, M. Saar-Tsechansky, B. Zadrozny

The 6th International Workshop on Multimedia Data Mining (MDM/KDD2005)

148

F. Bouali, L. Khan, F. Masseglia

Contributed Articles

Association against Dissociation: some pragmatic considerations for Frequent Itemset generation under Fixed and Variable Thresholds

151

S. Pal, A. Bagchi

June 2005, Volume 7, Issue 1

Guest Editors	Editor-In-Chief	Associate Editor
Anne Kao Boeing Phantom Works anne.kao at boeing.com	Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Usama Fayyad Yahoo!
Steve Poteet Boeing Phantom Works stephen.r.poteet at boeing.com		Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
		Osmar R. Zaiane University of Alberta, Canada zaiane at cs.ualberta.ca

Special Issue: Natural Language Processing and Text Mining

Text Mining and Natural Language Processing Introduction for the Special Issue

1

Anne Kao, Steve Poteet

Mining Knowledge from Text Using Information Extraction

3

Raymond J. Mooney, Razvan Bunescu

Instance Filtering for Entity Recognition

11

Alfio Massimiliano Gliozzo, Claudio Giuliano, Raffaella Rinaldi

Chinese Named Entity Recognition using Lexicalized HMMs

19

Guohong Fu, Kang-Kwong Luke

Distributed Higher Order Association Rule Mining Using Information Extracted from Textual Data

26

Shenzhi Li, Tianhao Wu, William M. Pottenger

Support Vector Machines Classification with A Very Large-scale Taxonomy

36

Tie-Yan Liu, Yiming Yang, Hao Wan, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma

Mining Logs Files for DataDriven System Management

44

Wei Peng, Tao Li, Sheng Ma

A baseline feature set for learning rhetorical zones using full articles in the biomedical domain

52

Tony Mullen, Yoko Mizuta, Nigel Collier

Using Text Mining and Natural Language Processing for Health Care Claims Processing

59

Fred Popowich

Extracting Statistical Data Frames from Text

67

Jisheng Liang, Krzysztof Koperski, Thien Nguyen, Giovanni Marchisio

Contributed Articles

Generalized Naive Bayes Classifiers

76

Kim Larsen

December 2004, Volume 6, Issue 2

Guest Editors	Editor-In-Chief	Associate Editor
Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu	Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Usama Fayyad DMX Group
Kevin Chen-Chuan Chang Univ. of IIlinois, Urbana-Champaign kcchang at cs.uiuc.edu		Bing Liu Univ. of Illinois, Chicago liub at cs.uic.edu
		Osmar R. Zaiane Univ. of Alberta zaiane at cs.ualberta.ca

Editorial: Special Issue on Web Content Mining

1

B. Liu, K. C.-C. Chang

Extracting Relational Data from HTML Repositories

5

R. Y. Zhang, L. V.S. Lakshmanan, R. H. Zamar

Learning Important Models for Web Page Blocks based on Layout and Content Analysis

14

R. Song, H. Liu, J.-R. Wen, W.-Y. Ma

Learning by Googling

24

P. Cimiano, S. Staab

Correlating Summarization of Multi-source News with K-way Graph Bi-clustering

34

Y. Zhang, X. Ji, C.-H. Chu, H. Zha

Information Diffusion Through Blogspace

43

D. Gruhl, R. Guha, D. Liben-Nowell, A. Tomkins

Mining Structures for Semantics

53

X. Dong, J. Madhavan, A. Halevy

Learning to Extract Information from Large Domain-specific Websites using Sequential Models

61

S. Sarawagi, V.G. V. Vydiswaran

Mining Semantics for Large Scale Integration on the Web: Evidences, Insights, and Challenges

67

K. C.-C. Chang, B. He, Z. Zhang

Contributed Articles

A Critical Review of Multi-Objective Optimization in Data Mining: A Position Paper

77

A. A. Freitas

Subspace Clustering for High Dimensional Categorical Data

87

G. Gan, J. Wu

Reports

KDD Cup 2004: Results and Analysis

95

R. Caruana, T. Joachims, L. Backstrom

Anti-matter detection: Particle Physics Model for KDD Cup 2004

109

D. S. Vogel, E. Gottschalk, M. C. Wang

KDD Physics Task - Discussion of Modeling Approaches

113

L. Wangikar, V. Agrwal, V. Gupta

Quick and Dirty Quantum Predictions with FIRMplus

115

C. G. Lambert, J. E. Grover

The Weka Solution to the 2004 KDD Cup

117

B. Pfahringer

A Block-Based Support Vector Machine Approach to the Protein Homology Prediction Task in KDD Cup 2004

120

Y. Fu, R. Sun, Q. Yang, S. He, C. Wang, H. Wang, S. Shan, J. Liu, W. Gao

Protein Matching With Custom Neural Network Objective Functions

125

D. S. Vogel, E. Gottschalk, M. C. Wang

KDD-Cup 2004 - Protein Homology Task

128

C. Foussette, D. Hakenjos, M. Scholz

Report on KDD Conference 2004 Panel Discussion: Can Natural Language Processing Help Text Mining?

132

A. Kao, S. Poteet

Overview of the ACM SIGKDD 2004 Workshops

134

M. Spiliopoulou

KDD-2004 Workshop Report: Link Analysis and Group Detection (LinkKDD-2004)

136

J. Adibi, H. Chalupsky, M. Grobelnik, D. Mladenic, N. M. Frayling

MultiRelational Data Mining 2004: Workshop Report

140

S. Dzeroski, H. Blockeel

A Workshop Report: Mining for and from the Semantic Web at KDD 2004

142

A. Hotho, Y. Sure, L. Getoor

The 5th International Workshop on Multimedia Data Mining (MDM/KDD2004)

144

L. Khan, V. A. Petrushin

WebKDD 2004 - Web Mining and Web Usage Analysis Post-Workshop report

147

O. Nasraoui, B. Mobasher, B. Masand, B. Liu

The Third SIGKDD Workshop on Mining Temporal and Sequential Data (KDD/TDM 2004)

152

K. P. Unnikrishnan, R. Uthurusamy, J. Han

Report on BIOKDD04: Workshop on Data Mining in Bioinformatics

153

M. J. Zaki, S. Morishita, I. Rigoutsos

A Report on the Fourth International Workshop on Environmental Applications of Machine Learning (EAML 2004)

155

S. Dzeroski, B. Zenko, M. Debeljak

Data Mining Standards, Services, and Platforms 2004 (DMSSP 2004)

157

R. Grossman

The 1st Workshop on ROC Analysis in Artificial Intelligence (ROCAI-2004)

159

J. H.-Orallo, C. Ferri, N. Lachiche, P. Flach

June 2004, Volume 6, Issue 1

Editor-In-Chief	Associate Editor	Guest Editors
Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Usama Fayyad DMX Group fayyad at dmxgroup.com	Nitesh V. Chawla Customer Behaviour Analytics, Retail Risk Management, CIBC chawla at morden.csee.usf.edu
		Nathalie Japkowicz School of Information Technology & Engineering, University of Ottawa nat at site.uottawa.ca
		Aleksander Kolcz AOL, Inc. a.kolcz at ieee.org

Special Issue on Learning from Imbalanced Datasets

Editorial

1

Nitesh Chawla, Nathalie Japkowicz, Aleksander Kolcz

Mining with Rarity: A Unifying Framework

7

G. M. Weiss

A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data

20

Gustavo E. A. P. A. Batista, R. C. Prati, M. C. Monard

Learning from Imbalanced Data Sets with Boosting and Data Generation: The DataBoost-IM Approach

30

H. Guo and H. L Viktor

Class Imbalances versus Small Disjuncts

40

T. Jo, N. Japkowicz

Minority Report in Fraud Detection: Classification of Skewed Data

50

C. Phua, D. Alahakoon, V. Lee

Extreme Rebalancing for SVMs: a case study

60

B. Raskutti, A. Kowalczyk

A Multistrategy Approach for Digital Text Categorization from Imbalanced Documents

70

M. D. del Castillo, J. I. Serrano

Feature Selection for Text Categorization on Imbalanced Data

80

Z. Zheng, X. Wu, R. Srihari

Contributed Articles

Subspace Clustering for High Dimensional Data: A Review

90

L. Parsons, E. Haque, H. Liu

Reports

MDM/KDD2003: Multimedia Data Mining

106

V. A. Petrushin, A. Kao, L. Khan

Advances in Frequent Itemset Mining Implementations: Report on FIMI 03 (FIMI Repository)

109

B. Goethals, M. J. Zaki

December 2003, Volume 5, Issue 2

Editor-In-Chief	Associate Editors	Guest Editors
Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Paul Bradley Apollo Data Technologies paul at apollodatatech.com	Gregory Piatetsky-Shapiro KDnuggets U. Mass Lowell gregory at kdnuggets.com
	Usama Fayyad DMX Group fayyad at dmxgroup.com	Pablo Tamayo MIT Broad Institute tamayo at broad.mit.edu

Introduction

Editorial

Usama M. Fayyad

Articles on Microarray Data Mining

Microarray Data Mining: Facing the Challenges

1

Gregory Piatetsky-Shapiro and Pablo Tamayo

A Novel Approach to Determine Normal Variation in Gene Expression Data

6

V. Nadimpally and M. Zaki

Gene Ranking Using Bootstrapped P-values

16

S. N. Mukherjee, P. Skykacek, S. J. Roberts, S. J. Gurr

Improving Classification of Microarray Data using Prototype-based Feature Selection

23

B. Hanczar, M. Courtine, A. Benis, C. Hennegar, K. Clément, J.-D. Zucker

Supervised Analysis When the Number of Candidate Features (p) Greatly Exceeds The Number of Cases (n)

31

R. Simon

Differential Expression, Class Discovery and Class Prediction using S-PLUS and S+ArrayAnalyzer

38

M. O'Connell

Machine Learning Methods Applied to DNA Microarray Data Can Improve the Diagnosis of Cancer

48

E. Bair and R. Tibshirani

Loss-Based Estimation with Cross-Validation: Applications to Microarray Data Analysis

56

S. Dudoit, M. J. van der Laan, S. Keles, A. M. Molinaro, S. E. Sinisi, S. L. Teng

Classification of Heterogeneous Gene Expression Data

69

B. Y. M. Fung and V. T. Y. Ng

Toward Interactive Exploration of Gene Expression Patterns

79

D. Jiang, J. Pei, A. Zhang

Graphical Modeling Based Gene Interaction Analysis for Microarray Data

91

X. Wu, Y. Ye, L. Zhang

Meta-Clustering of Gene Expression Data and Literature-based Information

101

P. Glenisson, J. Mathys, B. De Moor

Mining Biologically Active Patterns in Metabolic Pathways using Microarray Expression Profiles

113

H. Mamitsuka, Y. Okuno, A. Yamaguchi

Statistical Methods for Joint Data Mining of Gene Expression and DNA Sequence Data

122

M. D. Curran, H. Liu, F. Long, N. Ge

Machine Learning in Low-Level Microarray Analysis

130

B. I. P Rubinstein, J. McAuliffe, S. Cawley, M. Palaniswami, K. Ramamohanarao, T. P. Speed

Contributed Articles

"In vivo" Spam Filtering: A Challenge Problem for KDD

140

T. Fawcett

KDD Cup 2003 Reports

Overview of the KDD Cup 2003

149

J. Gehrke, P. Ginsparg, J. Kleinberg

Citation Prediction Using Time Series Approach KDD Cup 2003 (Task 1)

152

Manjunatha J. N., Sivaramakrishnan K. R., R. K. Pandey, M. Narasimha Murthy

Predicting citation rates for physics papers: Constructing features for an ordered probit model

154

C. Perlich, F. Provost, S. Macskassy

Resolving Citations in Paper Repository

156

S. Sarawagi, S. Srinivasan, V. G. Vinod Vydiswaran, K. Bhudhia

A Data Cleaning Solution by Perl Scripts for the KDD Cup 2003 Task 2

158

M. Cadot and J. di Martino

The Download Estimation Task on KDD Cup 2003

160

J. Brank and J. Leskovec

Model Builder for Predictive Analytics and Fair Isaac's Approach to KDD Cup 2003

163

J. Carleton, D. Hartnett, J. Milana, M. Momma, J. Sirosh, G. Surpi

Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics

165

A. McGovern, L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville, D. Jensen

Using Unsupervised Link Discovery Methods to Find Interesting Facts and Connections in Bibliography Dataset

173

S. Lin and H. Chalupsky

The Myth of the Double-Blind Review? Author Identification Using Only Citations

179

S. Hill and F. Provost

EqRank: A Self-Consistent Equivalence Relation on Graph Vertexes

185

G. Pivovarov, S. Trunov

Panel and Workshop Reports from KDD-2003

Summary from the KDD-03 Panel -- Data Mining: The Next 10 Years

191

U. M. Fayyad, G. Piatetsky-Shapiro, R. Uthurusamy

KDD-2003 Workshop on Data Mining Standards, Services and Platforms (DM-SSP 03)

197

R. Grossman

Data Mining in Bioinformatics: Report on BIOKDD '03

198

M. J. Zaki, J. T. L. Wang, H. T. T. Toivonen

Multirelational Data Mining 2003: Workshop Report

200

S. Dzeroski, L. De Raedt, S. Wrobel

News, Events and Announcements

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July 2003, Volume 5, Issue 1

Editor-In-Chief	Associate Editors	Guest Editors
Sunita Sarawagi I.I.T. Bombay sunita at iitb.ac.in	Usama Fayyad DMX Group fayyad at dmxgroup.com	Saso Dzeroski Department of Intelligent Systems, Jozef Stefan Institute Saso.Dzeroski at ijs.si
	Paul Bradley Apollo Data Technologies paul at apollodatatech.com	Luc De Raedt Institut für Informatik, Albert-Ludwigs-Universitaet Freiburg deraedt at informatik.uni-frieburg.de

Editorials

Editorial: Multi-Relational Data Mining: The Current Frontiers

Saso Dzeroski and Luc De Raedt

Articles on Multi Relational Data Mining (MRDM)

Multi-Relational Data Mining: An Introduction

1

S. Dzeroski

Scalability and Efficiency in Multi-Relational Data Mining

17

H. Blockeel and M. Sebag

Probabilistic Logic Learning

31

L. De Raedt and K. Kersting

Kernel-based Learning in Multi-Relational Data Mining

49

T. Gaertner

State of the Art of Graph-based Data Mining

59

T. Washio and H. Motoda

Biological Applications of Multi-Relational Data Mining

69

D. Page and M. Craven

Position Papers on MRDM

Prospects and Challenges for Multi-Relational Data Mining

80

P. Domingos

Link Mining

84

L. Getoor

Graph-based Relational Learning: Current and Future Directions

90

L. Holder and D. Cook

Contributed Articles

Exploratory Medical Knowledge Discovery: Experiences and Issues

94

J. F. Roddick, P. Fule and W. J. Graco

Reports

A Report on the Summer School on Relational Data Mining

100

S. Dzeroski and B. Zenko

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