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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»
15 years 3 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
15 years 3 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»
15 years 10 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»
14 years 9 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»
15 years 2 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