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» Massive Data Pre-Processing with a Cluster Based Approach
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WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
15 years 10 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
WWW
2006
ACM
16 years 4 months ago
Mining clickthrough data for collaborative web search
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a ...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
IADIS
2009
15 years 1 months ago
Out-of-scene AV data detection
In this paper, we propose a new approach for the automatic audio-based out-of-scene detection of audio-visual data, recorded by different cameras, camcorders or mobile phones duri...
Danil Korchagin
153
Voted
CCGRID
2007
IEEE
15 years 10 months ago
Analysis and Synthesis of Pseudo-Periodic Job Arrivals in Grids: A Matching Pursuit Approach
Pseudo-periodicity is one of the basic job arrival patterns on data-intensive clusters and Grids. In this paper, a signal decomposition methodology called matching pursuit is appl...
Hui Li, Richard Heusdens, Michael Muskulus, Lex Wo...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 1 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...