[PDF] Top 20 Elicitation of classification rules by fuzzy data mining
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Elicitation of classification rules by fuzzy data mining
... set of fuzzy rules generatedby the proposed ...adaptive rules are further employed to adjust the fuzzy confidence of R b : If t p is correctly classifiedthen FC(R b ) is increased; ... See full document
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An ACS-based Framework for Fuzzy Data Mining
... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...kinds of knowledge such as classification rules, clusters, association rules, and ... See full document
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An ACS-based Framework for Fuzzy Data Mining
... Abstract Data mining is often used to find out interesting and meaningful patterns from huge ...kinds of knowledge such as classification rules, clusters, association rules, and ... See full document
28
A Multi-level Ant-based Algorithm for Fuzzy Data Mining
... Keywords: data mining, ant colony system, fuzzy set, membership function, multi-stage ...growing of data mining, many techniques and applications related to this field have ... See full document
6
Finding fuzzy classification rules using data mining techniques
... 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 ... See full document
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Mining fuzzy association rules for classification problems
... 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 ... See full document
16
Fuzzy data mining for interesting generalized association rules
... 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
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Mining Time Series Data with Fuzzy Association Rules
... Association Rules Data mining can be applied to discover the useful patterns and rules by exploring and analyzing a large quantity of ...collection of data from ... See full document
7
Mining fuzzy generalized association rules from quantitative data under fuzzy taxonomic structures
... discovery of more general and important knowledge from data. Relevant taxonomies of data items are thus usually predefined in real-world applications. An item may, however, belong to different ... See full document
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Generating Weighted Fuzzy Rules From Training Data for Handling Fuzzy Classification Problems
... weighted fuzzy rules from a set of training data to deal with the Saturday Morning Problem [17], where the attributes appearing in the antecedent parts of the generated fuzzy ... See full document
8
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data
... and data-mining techniques have been developed to turn data into useful task-oriented ...for mining association rules identify relationships among transactions using binary values and ... See full document
33
Mining generalized fuzzy association rules from web taxonomic Mining generalized fuzzy association rules from web taxonomic
... 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 ... See full document
6
On the evaluation of attribute information for mining classification rules
... A two-phase approach for classification rule mining was explored in [6], where given a large training set of data tuples, the first phase, referred t o as featur[r] ... See full document
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A new method for generating fuzzy rules from numerical data for handling classification problems
... one of the important applications of fuzzy logic. Fuzzy classi® cation Systems are capable of handling perceptual uncertainties, such as the vagueness and ambiguity involved in classi® ... See full document
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Dynamic mining of multi-supported association rules with classification ontology
... One of the predominant techniques used in the area of data mining is association rule ...world, data mining analysts usually are confronted with a dynamic environment; the ... See full document
8
Mining a Complete Set of Fuzzy Multiple-Level Rules
... Abstract Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific ...conventional data-mining algorithms identify ... See full document
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Using multi-attribute predicates for mining classification rules
... combination of features, the execution time required grows expo- nentially with the size of a training database, which is highly undesirable in many ...ciency of deriving classi cation rules ... See full document
6
Mining generalized fuzzy association rules from web pages
... 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 ... See full document
5
Incremental mining of generalized association rules under classification ontology and support constraint update
... association rules from a large business database, has been recognized as an important topic in the data mining ...analysis of associations is the use of classification ontology ... See full document
6
A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples
... generate fuzzy classi¢cation rules for forecasting unknown values, one only considers linguistic terms and class terms of an attribute and the classi¢cation attribute, respectively, whose membership ... See full document
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