DocumentCode :
342587
Title :
Pattern-based inference approach for data mining
Author :
Sy, Bon K.
Author_Institution :
Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
fYear :
1999
fDate :
36342
Firstpage :
727
Lastpage :
731
Abstract :
Information theory and statistical analysis are discussed as two fundamental conceptual tools for data mining. A data mining technique based on these two conceptual tools consists of three steps. The first step is a statistical approach for discovering data patterns. The second step is an information-theoretic approach for identifying models that encapsulate the statistical behavior of the data patterns. The last step is a probabilistic approach for pattern-based inference that predicts unknown significant event patterns
Keywords :
data mining; database theory; inference mechanisms; information theory; pattern recognition; statistical analysis; conceptual tools; data mining technique; data pattern discovery; event pattern prediction; information theory; model identification; pattern-based inference approach; probabilistic approach; statistical analysis; Computer science; Couplings; Data mining; Educational institutions; Electronic mail; Information theory; Mutual information; Random variables; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
Type :
conf
DOI :
10.1109/NAFIPS.1999.781789
Filename :
781789
Link To Document :
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