[PDF] Top 20 Mining a Complete Set of Fuzzy Multiple-Level Rules

... the fuzzy association rules derived in that way are not complete, as some possible fuzzy association rules might be ...proposes a new fuzzy data-mining algorithm ... See full document

... for mining association rules identify relationships among transactions using binary values and find rules at a single-concept ...proposes a fuzzy multiple-level ... See full document

... Department of Information Management, I-Shou University, Kaohsiung 84008, Taiwan, ROC Abstract Finding association rules in transaction databases is most commonly seen in data ...proposes a ... See full document

... number of database scans and requiring less contrast. Recently, the fuzzy set theory[3] has been used more and more frequently in intelligent ...proposed a fuzzy mining ... See full document

... problem of mining generalized association rules for quantitative ...propose fuzzy generalized rules mining algorithm for extracting implicit knowledge from transactions stored as ... See full document

... number of original ...complexity. A mining process using fuzzy counts is performed to find fuzzy multiple-level association ...rules. Fuzzy interest ... See full document

... proposed a mining algorithm to find suitable membership functions for fuzzy association rules based on the ant colony ...accuracy of the results by adding multi-level processing. ... See full document

... step of Partition algorithm and use B pi 1 instead of L pi 1 as the level 1 frequent ...term of “for loop”. We will not check level larger than M because there is no possible frequent ... See full document

... j A TRg; ð10Þ where TR is the set of fuzzy rules generatedby the proposed ...adaptive rules are further employed to adjust the fuzzy confidence of R b : If t p is ... See full document

... association rules for inferring the missing values in an iterative ...consists of three phases. The first phase uses the association rules which are mined from an original incomplete dataset to ... See full document

... development of data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group ... See full document

... discovery of fuzzy association rules is an important data-mining task for which many algorithms have been ...efficiency of these algorithms needs to be improved to handle real-world ... See full document

... Association Rules Data mining can be applied to discover the useful patterns and rules by exploring and analyzing a large quantity of ...is, a collection of data from ... See full document

... Institute of Management of Technology, National Chiao Tung University, Hsinchu 300, Taiwan, ROC Received 25 February 2002; received in revised form 29 May 2002 Abstract Data mining techniques can be ... See full document

... Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, 811, Taiwan, ...Data mining is the process of extracting desirable knowledge or ... See full document

... point of view about defining the minimum supports of itemsets when items have different minimum ...some mining domains. We then propose a simple algorithm based on the Apriori approach to find ... See full document

... most of intrusion detection systems still existing excessive fault alerts problems, including high false positive and low detection ...combination of association rules and frequency episode ...the ... See full document

... recognize a topological map from a random starting ...use of the corresponding discovered association ...numbers of output nodes (cluster number), learning rate, radius rate and converge error ... See full document

... 一個多重資料區間之多維度規則挖掘 ─ 以共同行銷為例 Mining Multi-Dimension Rules in Multiple Database Segmentation ─ on Examples of Cross Selling.[r] ... See full document

... Data mining can explore the hidden messages from data for ...time of emergency room、how to aid medical personnels to provide effective services in order to enhance patient safety is a very important ... See full document