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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
13 years 11 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
ICDE
2006
IEEE
154views Database» more  ICDE 2006»
14 years 1 months ago
Efficient Image Classification on Vertically Decomposed Data
Organizing digital images into semantic categories is imperative for effective browsing and retrieval. In large image collections, an efficient algorithm is crucial to quickly cat...
Taufik Abidin, Aijuan Dong, Honglin Li, William Pe...
WWW
2007
ACM
14 years 8 months ago
Academic web search engine: generating a survey automatically
Given a document repository, search engine is very helpful to retrieve information. Currently, vertical search is a hot topic, and Google Scholar [4] is an example for academic se...
Ye Wang, Zhihua Geng, Sheng Huang, Xiaoling Wang, ...
WWW
2009
ACM
14 years 2 months ago
A probabilistic model based approach for blended search
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
Ning Liu, Jun Yan, Zheng Chen
JAIR
2006
92views more  JAIR 2006»
13 years 7 months ago
Dynamic Local Search for the Maximum Clique Problem
In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which...
Wayne J. Pullan, Holger H. Hoos