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» Theoretical Frameworks for Data Mining
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FGCS
2007
160views more  FGCS 2007»
14 years 9 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
ICMCS
2005
IEEE
204views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Multimedia data mining for building rule-based image retrieval systems
This paper presents a framework for building rule-based image retrieval (RBIR) systems. Soft computing based multimedia data mining techniques are employed to extract and optimize...
Dianhui Wang, Xiaohang Ma
ICMS
2010
14 years 8 months ago
TADD: A Computational Framework for Data Analysis Using Discrete Morse Theory
This paper presents a computational framework that allows for a robust extraction of the extremal structure of scalar and vector fields on 2D manifolds embedded in 3D. This struct...
Jan Reininghaus, David Günther, Ingrid Hotz, ...
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
14 years 11 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
APN
2005
Springer
15 years 3 months ago
The ProM Framework: A New Era in Process Mining Tool Support
Under the umbrella of buzzwords such as “Business Activity Monitoring” (BAM) and “Business Process Intelligence” (BPI) both academic (e.g., EMiT, Little Thumb, InWoLvE, Pro...
Boudewijn F. van Dongen, Ana Karla A. de Medeiros,...