SIGKDD

ACM Special Interest Group on Knowledge Discovery and Data Mining

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

A Survey of Kernels for Structured Data

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: A New data Mining Challenge

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