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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 10 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
GIS
2008
ACM
16 years 7 months ago
GEDMWA: geospatial exploratory data mining web agent
An abundance of geospatial information is flourishing on the Internet but mining and disseminating these data is a daunting task. With anything published on the web available to t...
Edward Pultar, Martin Raubal, Michael F. Goodchild
HICSS
2005
IEEE
124views Biometrics» more  HICSS 2005»
16 years 6 days ago
Information Policy, Data Mining, and National Security: False Positives and Unidentified Negatives
Since 9/11, intelligence agencies in the United States have expanded experimentation and use of data mining and analysis techniques to combat terrorism. These efforts have generat...
Terrence A. Maxwell
ACRI
2004
Springer
16 years 2 hour ago
Mining Ecological Data with Cellular Automata
This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary te...
Alexander Campbell, Binh Pham, Yu-Chu Tian
ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
15 years 11 months ago
A Comparative Study of RNN for Outlier Detection in Data Mining
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...