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» A Quality Model for Evaluating Feature Models
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KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 4 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
CLEF
2010
Springer
15 years 5 months ago
Web Person Name Disambiguation by Relevance Weighting of Extended Feature Sets
Abstract. This paper describes our approach to the Person Name Disambiguation clustering task in the Third Web People Search Evaluation Campaign(WePS3). The method focuses on two a...
Chong Long, Lei Shi
AI
2004
Springer
15 years 4 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
HPCA
2007
IEEE
16 years 4 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
244
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MSWIM
2006
ACM
15 years 10 months ago
Performance evaluation of web services invocation over Bluetooth
Mobile devices should allow users to exploit services anytime, without any place restriction and in a transparent way. The Bluetooth technology achieves this feature, by providing...
Vincenzo Auletta, Carlo Blundo, Emiliano De Cristo...