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ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 11 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
176
Voted
SOFT
2000
15 years 8 months ago
Problems and Prospects in Fuzzy Data Analysis
In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new research...
Rudolf Kruse, Christian Borgelt, Detlef Nauck
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 5 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
EUMAS
2006
15 years 6 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
ACSW
2004
15 years 6 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...