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[PDF] Top 20 Mining fuzzy association rules for classification problems

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Mining fuzzy association rules for classification problems

Mining fuzzy association rules for classification problems

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

16

Fuzzy data mining for interesting generalized association rules

Fuzzy data mining for interesting generalized association rules

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

33

Mining generalized fuzzy association rules from web taxonomic Mining generalized fuzzy association rules from web taxonomic

Mining generalized fuzzy association rules from web taxonomic Mining generalized fuzzy association rules from web taxonomic

... of fuzzy association rules is an important data-mining task for which many algorithms have been ...cluster-based fuzzy association rule (CBFAR) to discover generalized ... See full document

6

Generating  Weighted Fuzzy Rules From Training Data for Handling Fuzzy Classification Problems

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 rule may have different ... See full document

8

Elicitation of classification rules by fuzzy data mining

Elicitation of classification rules by fuzzy data mining

... of fuzzy rules generatedby the proposed method. The 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

8

Finding fuzzy classification rules using data mining techniques

Finding fuzzy classification rules using data mining techniques

... Data mining techniques can be used to discover useful patterns by exploring and analyzing data, so, it is feasible to incorporate data mining techniques into the classification process to discover useful ... See full document

11

Mining generalized fuzzy association rules from web pages

Mining generalized fuzzy association rules from web pages

... of fuzzy association rules is an important data-mining task for which many algorithms have been ...cluster-based fuzzy association rule (CBFAR) to discover generalized ... See full document

5

Mining Time Series Data with Fuzzy Association Rules

Mining Time Series Data with Fuzzy Association Rules

... OF FUZZY ASSOCIATION RULES Song and Chissom indicate that traditional forecasting methods are not suited to data composed of linguistic ...values. Fuzzy time series method is the inspiration. ... See full document

7

A new method for generating fuzzy rules from numerical data for handling classification problems

A new method for generating fuzzy rules from numerical data for handling classification problems

... of fuzzy logic. Fuzzy classi® cation Systems are capable of handling perceptual uncertainties, such as the vagueness and ambiguity involved in classi® cation ...a fuzzy classi® cation system is to ® ... See full document

22

Mining fuzzy generalized association rules from quantitative data under fuzzy taxonomic structures

Mining fuzzy generalized association rules from quantitative data under fuzzy taxonomic structures

... among transactions using binary values and find rules at a single concept level. Transactions with quantitative values and items with taxonomic relations are, however, commonly seen in real-world applications. ... See full document

24

Dynamic mining of multi-supported association rules with classification ontology

Dynamic mining of multi-supported association rules with classification ontology

... dynamically mining association rules with classification ontology under multiple minimum support update when new transactions are continually added into the original database over ...DMA_CO, ... See full document

8

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

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

33

A Study on Mining Fuzzy Association Rules and Episode Rules for Intrusion Detection 柯文元、曹偉駿

A Study on Mining Fuzzy Association Rules and Episode Rules for Intrusion Detection 柯文元、曹偉駿

... alerts problems, including high false positive and low detection ...of association rules and frequency episode ...the fuzzy clustering technique to cluster network ...possible rules ... See full document

3

Incremental mining of generalized association rules under classification ontology and support constraint update

Incremental mining of generalized association rules under classification ontology and support constraint update

... generalized association mining algorithms, Cumulate and Stratify, to the whole updated ...settings for synthetic data are shown in Table ...strategies for the implementation of each ... See full document

6

An Effective Algorithm for Mining Association Rules with Multiple Thresholds

An Effective Algorithm for Mining Association Rules with Multiple Thresholds

... Unlike the traditional algorithms like Apriori, Partition algorithm, MTEPP algorithm scans database with inverse direction, from the latest transaction to the earliest transaction. While finishing to read a partition pi, ... See full document

12

Mining association rules with ontological information

Mining association rules with ontological information

... data mining is to discover association rules from a ...An association rule is an expression of the form, X  Y, where X and Y are sets of ...decision for business ...of mining ... See full document

4

Discovering fuzzy association rules using fuzzy partition methods

Discovering fuzzy association rules using fuzzy partition methods

... Data mining; Fuzzy partition; Association rules; Decision making ...rapidly. For the activities of decision- making and market prediction, knowledge discovery from a database is very ... See full document

11

An integration of fuzzy association rules and WordNet for document clustering

An integration of fuzzy association rules and WordNet for document clustering

... technologies for Internet comput- ing, data/document warehousing, and data/text ...the Association for Com- puting Machinery, Special Interest Group on Management of ... See full document

22

Progressive Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules

Progressive Partition Miner: An Efficient Algorithm for Mining General Temporal Association Rules

... of mining general temporal association rules in publication ...of association rule mining is not able to handle the publication database due to the following fundamental ... See full document

14

Incremental mining of ontological association rules in evolving environments

Incremental mining of ontological association rules in evolving environments

... of mining association rules with ontological information (called ontological association rules) and devised two efficient algorithms, called AROC and AROS, for discovering ... See full document

10

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