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155
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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
15 years 10 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
163
Voted
UIC
2009
Springer
15 years 10 months ago
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
Abstract. In the last years, techniques for activity recognition have attracted increasing attention. Among many applications, a special interest is in the pervasive e-Health domai...
Daniele Riboni, Claudio Bettini
163
Voted
KSEM
2009
Springer
15 years 10 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
123
Voted
SRDS
2008
IEEE
15 years 10 months ago
An Incremental File System Consistency Checker for Block-Level CDP Systems
A block-level continuous data protection (CDP) system logs every disk block update from an application server (e.g., a file or DBMS server) to a storage system so that any disk u...
Maohua Lu, Tzi-cker Chiueh, Shibiao Lin
119
Voted
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
15 years 10 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
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