Title :
Pattern-based inference approach for data mining
Author_Institution :
Dept. of Comput. Sci., Queens Coll., Flushing, NY, USA
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;
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
DOI :
10.1109/NAFIPS.1999.781789