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» Feature Extraction for Massive Data Mining
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EDBT
2010
ACM
205views Database» more  EDBT 2010»
13 years 9 months ago
Advanced knowledge discovery on movement data with the GeoPKDD system
The growing availability of mobile devices produces an enormous quantity of personal tracks which calls for advanced analysis methods capable of extracting knowledge out of massiv...
Mirco Nanni, Roberto Trasarti, Chiara Renso, Fosca...
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 11 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
ICUIMC
2009
ACM
14 years 20 days ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 14 days ago
Extracting Author Meta-Data from Web Using Visual Features
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles
IJCAI
1997
13 years 7 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip