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» Agent-Enriched Data Mining Using an Extendable Framework
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PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
11 years 11 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 2 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 7 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...