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» Data Mining: Machine Learning, Statistics, and Databases
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CASCON
1997
232views Education» more  CASCON 1997»
13 years 8 months ago
DBMiner: a system for data mining in relational databases and data warehouses
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledgeinlargerelationaldatabases and data warehouses. The system implements a wide sp...
Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jia...
KDD
1994
ACM
118views Data Mining» more  KDD 1994»
13 years 11 months ago
Discovering Informative Patterns and Data Cleaning
Wepresent a methodfor discovering informative patterns from data. With this method,large databases can be reducedto only a few representative data entries. Ourframeworkencompasses...
Isabelle Guyon, Nada Matic, Vladimir Vapnik
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
13 years 11 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
SIGKDD
2000
139views more  SIGKDD 2000»
13 years 7 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
ICML
2006
IEEE
14 years 8 months ago
Sequential update of ADtrees
Ingcreasingly, data-mining algorithms must deal with databases that continuously grow over time. These algorithms must avoid repeatedly scanning their databases. When database att...
Josep Roure, Andrew W. Moore