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» Feature Extraction for Massive Data Mining
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KDD
2006
ACM
161views Data Mining» more  KDD 2006»
14 years 5 months ago
Efficient kernel feature extraction for massive data sets
Ivor W. Tsang, András Kocsor, James T. Kwok
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 8 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ICDM
2009
IEEE
103views Data Mining» more  ICDM 2009»
13 years 11 months ago
Unsupervised Relation Extraction by Massive Clustering
Edgar González, Jordi Turmo
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 6 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
AIMSA
2004
Springer
13 years 10 months ago
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Jae-Hong Eom, Byoung-Tak Zhang