Rule Extraction for Blood Donators with Fuzzy Sequential Pattern Mining
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Authors
Fatemeh Zabihi
- Industrial Engineering Department, Faculty of Engineering, Shomal University, Amol, Iran
Mojtaba Ramezan
- Computer Engineering Department, Tarbiat Moallem University, Karaj/Tehran, Iran
Mir Mohsen Pedram
- Computer Engineering Department, Faculty of Engineering, Tarbiat Moallem University, Karaj/Tehran, Iran
Azizollah Memariani
- School of Economic Sciences, Tehran, Iran
Abstract
Sequential pattern mining is to discover all sub-sequences that are frequent. The classical sequential pattern mining algorithms do not allow processing of numerical data and require converting these data into a binary representation, which necessarily leads to a loss of information. Fuzzy sets are used to overcome this problem and fuzzy set based algorithms have been proposed to handle numerical data using intervals, particularly fuzzy intervals. In this paper, a fuzzy sequential pattern mining algorithm is applied to mine fuzzy sequential patterns from the Blood Transfusion Service Center data set. It helps to predict future patterns of blood donating behavior.
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ISRP Style
Fatemeh Zabihi, Mojtaba Ramezan, Mir Mohsen Pedram, Azizollah Memariani, Rule Extraction for Blood Donators with Fuzzy Sequential Pattern Mining, Journal of Mathematics and Computer Science, 2 (2011), no. 1, 37--43
AMA Style
Zabihi Fatemeh, Ramezan Mojtaba, Pedram Mir Mohsen, Memariani Azizollah, Rule Extraction for Blood Donators with Fuzzy Sequential Pattern Mining. J Math Comput SCI-JM. (2011); 2(1):37--43
Chicago/Turabian Style
Zabihi, Fatemeh, Ramezan, Mojtaba, Pedram, Mir Mohsen, Memariani, Azizollah. "Rule Extraction for Blood Donators with Fuzzy Sequential Pattern Mining." Journal of Mathematics and Computer Science, 2, no. 1 (2011): 37--43
Keywords
- Sequence
- Fuzzy Sequential Pattern Mining
- Fuzzy rules.
MSC
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