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KAIS
2007
75views more  KAIS 2007»
15 years 6 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
SIGKDD
2002
162views more  SIGKDD 2002»
15 years 6 months ago
Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles
This paper presents a background and overview for task 1 (of 2 tasks) of the KDD Challenge Cup 2002, a competition held in conjunction with the ACM SIGKDD International Conference...
Alexander S. Yeh, Lynette Hirschman, Alexander A. ...
SEMWEB
2010
Springer
15 years 4 months ago
Auto-experimentation of KDD Workflows Based on Ontological Planning
One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually des...
Floarea Serban
183
Voted
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
15 years 4 months ago
Pattern Mining over Star Schemas in the Onto4AR Framework
Storing data according to the multidimensional model, in particular following star schemas, has demonstrated to be one of the most adequate forms to ease the exploration of data. ...
Cláudia Antunes