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GECCO
2008
Springer
229views Optimization» more  GECCO 2008»
13 years 8 months ago
EIN-WUM: an AIS-based algorithm for web usage mining
With the ever expanding Web and the information published on it, effective tools for managing such data and presenting information to users based on their needs are becoming nece...
Adel Torkaman Rahmani, B. Hoda Helmi
AIRS
2006
Springer
13 years 11 months ago
Web Mining for Lexical Context-Specific Paraphrasing
In most applications of paraphrasing, contextual information should be considered since a word may have different paraphrases in different contexts. This paper presents a method th...
Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu ...
CVPR
2004
IEEE
14 years 9 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
14 years 1 months ago
Uncovering the Patterns in Pathology Ordering by Australian General Practitioners: A Data Mining Perspective
Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide. A thorough understanding of the nature ...
Zoe Yan Zhuang, Leonid Churilov, Ken Sikaris
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 7 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney