NP-FARM: Negative and Positive Fuzzy Association Rule Mining in Transaction Dataset
نویسندگان
چکیده
منابع مشابه
Mining Positive and Negative Fuzzy Association Rules
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy association rules. We show how, by a deliberate choice of fuzzy logic connectives, significantly increased expressivity is available at little extra cost. In particular, rule quality measures for negative rules can be co...
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Pre Prospection data mining model for hydrocarbon development guides to the need of developing a model for prospection activity for which the data of surface indicators collected through remote sensing and microbial sources can be used. This chapter proposes a new approach to mine context based positive and negative spatial association rules. Researchers are using Apriori algorithm on spatial d...
متن کاملFuzzy Association Rule Mining
Corresponding Author: Lekha. A., Research Scholar, Dr M G R Educational Research Institute, Chennai, India-600095, Assistant Professor, Department of MCA, PESIT, Bangalore Email: [email protected] Abstract: The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find associatio...
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Association Rule is an important tool for today data mining technique. But this work only concern with positive rule generation till now. This paper gives study for generating negative and positive rule generation as demand of modern data mining techniques requirements. Here also gives detail of “A method for generating all positive and negative Association Rules” (PNAR). PNAR help to generates...
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Rare association rule mining has received a great deal of attention in the recent past. In this research, we use transaction clustering as a pre-processing mechanism to generate rare association rules. The basic concept underlying transaction clustering stems from the concept of large items as defined by traditional association rule mining algorithms. We make use of an approach proposed by Koh ...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2014
ISSN: 0974-6846,0974-5645
DOI: 10.17485/ijst/2014/v7i11.22