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DASFAA
2010
IEEE
165views Database» more  DASFAA 2010»
13 years 11 months ago
Towards an Algebraic Framework for Querying Inductive Databases
Abstract. In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra includ...
Hong-Cheu Liu, Aditya Ghose, John Zeleznikow
INCDM
2010
Springer
251views Data Mining» more  INCDM 2010»
13 years 11 months ago
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
KDD
1998
ACM
185views Data Mining» more  KDD 1998»
13 years 11 months ago
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
Philip K. Chan, Salvatore J. Stolfo
DAGSTUHL
2003
13 years 8 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen
SIGKDD
2008
113views more  SIGKDD 2008»
13 years 7 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...