Soft Set Approach for Mining Quantitative Association Patterns in Databases
نویسندگان
چکیده
منابع مشابه
Set-Oriented Mining for Association Rules in Relational Databases
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less e sc i en t than special-purpose algorithms. W e develop new algorithms that can be expressed as SQL queries, and discuss optimization of these algorithms. After analytical evaluation, an algorithm named S E T M emerges as the algorithm of choice...
متن کاملSoft set based association rule mining
Association rules, one of the most useful constructs in data mining, can be exerted to capture interesting dependencies between variables in large datasets. Herawan and Deris initiated the investigation of mining association rules from transactional datasets using soft set theory. Unfortunately, some existing concepts in the literature were unable to realize properly Herawan and Deris’s initial...
متن کاملA Bayesian Approach for Classification Rule Mining in Quantitative Databases
We suggest a new framework for classification rule mining in quantitative data sets founded on Bayes theory – without univariate preprocessing of attributes. We introduce a space of rule models and a prior distribution defined on this model space. As a result, we obtain the definition of a parameter-free criterion for classification rules. We show that the new criterion identifies interesting c...
متن کاملMining Fuzzy Association Patterns in Gene Expression Databases
In this paper, we propose two fuzzy data mining approaches for microarray analysis, namely Fuzzy Associative Gene Expression (FAGE) and Ripple Effective Gene Expression Rule (REGER) algorithms. Both of them first transform microarray data into fuzzy items, and then use fuzzy operators and specially-designed data structures to discover the relationships among genes. Through the proposed algorith...
متن کاملUsage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining
This paper is two folded. In first fold, the authors have illustrated the interplay among fuzzy, rough, and soft set theory and their way of handling vagueness. In second fold, the authors have studied their individual strengths to discover association rules. The performance of these three approaches in discovering comprehensible rules are presented. Usage of Fuzzy, Rough, and Soft Set Approach...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2013
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-1165565