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» Data Mining Application in Higher Learning Institutions
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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 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
FUZZIEEE
2007
IEEE
14 years 2 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 2 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 9 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 9 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström