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HM
2005
Springer
98views Optimization» more  HM 2005»
15 years 9 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...
124
Voted
AIED
2007
Springer
15 years 7 months ago
Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining
This study examined the effectiveness of an educational data mining method
Hao Cen, Kenneth R. Koedinger, Brian Junker
ICDM
2010
IEEE
96views Data Mining» more  ICDM 2010»
15 years 1 months ago
Domain-Driven Data Mining for IT Infrastructure Support
Abstract--Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adop...
Girish Keshav Palshikar, Harrick M. Vin, Mohammed ...
114
Voted
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
15 years 9 months ago
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario
We propose a data warehousing architecture for effective risk analysis in a banking scenario. The core of the architecture consists in two data mining tools for improving the qual...
Gianni Costa, Francesco Folino, Antonio Locane, Gi...
PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
15 years 9 months ago
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...
Hillol Kargupta, Kamalika Das, Kun Liu