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» A Fully Distributed Framework for Cost-Sensitive Data Mining
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PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
13 years 10 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
ATAL
2007
Springer
13 years 11 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 5 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
CONCURRENCY
2008
85views more  CONCURRENCY 2008»
13 years 4 months ago
The Weka4WS framework for distributed data mining in service-oriented Grids
Domenico Talia, Paolo Trunfio, Oreste Verta
CASDMKM
2004
Springer
157views Data Mining» more  CASDMKM 2004»
13 years 10 months ago
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
Shouyang Wang, Lean Yu, Kin Keung Lai