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Mining Association Rules from Fuzzy DataCubes
2010The use of online analytical processing (OLAP) systems as data sources for data mining techniques has been widely studied and has resulted in what is known as online analytical mining (OLAM). As a result of both the use of OLAP technology in new fields of knowledge and the merging of data from different sources, it has become necessary for models to ...
Nicolás Marín +3 more
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Mining Fuzzy Association Rules: An Overview
2006The main aim of this paper is to present a revision of the most relevant results about the use of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules. Fuzzy Sets Theory has been shown to be a very useful tool in Data Mining in order to represent the so-called Association Rules in a natural and human ...
M. Delgado +4 more
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Mining Quantitative and Fuzzy Association Rules
2005The problem of mining association rules from databases was introduced by Agrawal, Imielinski, & Swami (1993). In this problem, we give a set of items and a large collection of transactions, which are subsets (baskets) of these items. The task is to find relationships between the occurrences of various items within those baskets.
Hong Shen, Susumu Horiguchi
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Contextual generic association rules visualization using hierarchical fuzzy meta-rules
2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005Traditional framework for mining association rules has pointed out the derivation of many redundant rules, in order to be reliable in a decision making process, such discovered rules have to be concise and easily understandable for users or as well as an input to visualization tools. We present a 3D histograms-based visualization prototype for handling
S.B. Yahia, E.M. Nguifo
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Clustering Association Rules with Fuzzy Concepts
2009Association rules constitute a widely accepted technique to identify frequent patterns inside huge volumes of data. Practitioners prefer the straightforward interpretability of rules, however, depending on the nature of the underlying data the number of induced rules can be intractable large. Even reasonably sized result sets may contain a large amount
Matthias Steinbrecher, Rudolf Kruse
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On Fuzzy Modus Ponens to Assess Fuzzy Association Rules
2015Fuzzy association rules provide a meaningful tool to represent new useful information extracted from raw data and expressed in a comprehensive way for a decision maker. In this paper we propose an approach to assess Fuzzy Association Rules by using the theoretical results by Trillas et al. about the Fuzzy Modus Ponens.
Miguel Delgado +3 more
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Mining fuzzy spatial association rules
2001ÖZ BELÎRSÎZ COĞRAFÎ İLÎŞKÎ KURALLARI MADENCİLİĞİ Kaçar, Esen Yüksek Lisans, Bilgisayar Mühendisliği Bölümü Tez Yöneticisi: Doç. Dr. Nihan Kesim Çiçekli Temmuz 2001, 70 sayfa Coğrafi bilgi sistemlerinde, varolan mekansal verileri anlamak ve kullanmak için, ilgi çekici, saklı bilgileri ve genel ilişkileri ortaya çıkarmak çok önemlidir. Bu saklı bilgileri
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Mining Weighted Generalized Fuzzy Association Rules with Fuzzy Taxonomies
2005This paper proposes the problem of mining weighted generalized fuzzy association rules with fuzzy taxonomies (WGF-ARs). It is an extension of the generalized fuzzy association rules with fuzzy taxonomies problem. In order to reflect the importance of different items, the notion of generalized weights is introduced, and leaf-node items and ancestor ...
Shen Bin, Yao Min, Yuan Bo
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Lift Measure for Fuzzy Association Rules
2015The aim of this paper is to provide a correct definition of lift measure for fuzzy association rules, to study some of it’s interesting mathematical properties, and to provide an algorithm for fast computation of fuzzy lift during the process of fuzzy association rules mining.
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MINING FUZZY ASSOCIATION RULES FROM DATABASE
Intelligent Decision Making Systems, 2009HONGXIA TANG +3 more
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