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ICDM
2009
IEEE
138views Data Mining» more  ICDM 2009»
13 years 6 months ago
Semantic-Rich Markov Models for Web Prefetching
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...
Nizar R. Mabroukeh, Christie I. Ezeife
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Generating Diverse Ensembles to Counter the Problem of Class Imbalance
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
T. Ryan Hoens, Nitesh V. Chawla
DAWAK
2008
Springer
13 years 10 months ago
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to st...
Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen
KDD
2001
ACM
153views Data Mining» more  KDD 2001»
14 years 9 months ago
Evaluation of prediction models for marketing campaigns
We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
MLDM
2009
Springer
14 years 3 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda