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[PDF] Top 20 Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences

Has 10000 "Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences" found on our website. Below are the top 20 most common "Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences".

Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences

Fuzzy Weighted Data Mining from Quantitative Transactions with Linguistic Minimum Supports and Confidences

... 1 Data mining is the process of extracting desirable knowledge or interesting patterns from existing da- tabases for specific ...among transactions using binary values and set the ... See full document

10

Mining Weighted Browsing Patterns with Linguistic Minimum Supports

Mining Weighted Browsing Patterns with Linguistic Minimum Supports

... rapidly and have made a significant impact on computer ...efficient and effective web retrieval has become a very important research topic in this ...web mining have thus been requested and ... See full document

36

Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds

Mining Fuzzy Weighted Browsing Patterns from Time Duration and with Linguistic Thresholds

... behaviors from the time durations of the paged browsed. In the log data, each transaction contains only one web ...The mining process can thus be simplified when compared to that for multiple-item ... See full document

33

Multi-level fuzzy mining with multiple minimum supports

Multi-level fuzzy mining with multiple minimum supports

... appear, and data may have quantitative ...a fuzzy multiple-level mining algorithm for extracting knowledge implicit in quantitative transactions with multiple ... See full document

5

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

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

... expanded transactions and uses membership functions to transform each quantitative value into a fuzzy set in linguistic ...the linguistic term with the maximum cardinality ... See full document

24

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

Mining Fuzzy Multiple-Level Association Rules from Quantitative Data

... Machine-learning and data-mining techniques have been developed to turn data into useful task-oriented ...for mining association rules identify relationships among transactions ... See full document

33

Fuzzy data mining for interesting generalized association rules

Fuzzy data mining for interesting generalized association rules

... Transactions with quantitative values and items with hierarchy relation are, however, commonly seen in real-world ...of mining generalized association rules for ... See full document

33

Finding fuzzy classification rules using data mining techniques

Finding fuzzy classification rules using data mining techniques

... two-phase data mining technique to discover fuzzy rules for clas- sification problems based on the Apriori algo- ...frequent fuzzy grids by dividing each quantitative attribute ... See full document

11

Mining Weighted Linguistic Browsing Patterns from Log Data on Web Servers

Mining Weighted Linguistic Browsing Patterns from Log Data on Web Servers

... sequences with r web pages. 5 The Proposed Algorithm for Linguistic Weighted Web Mining Log data in a web site are used to analyze the browsing patterns on that ...client-ip and ... See full document

13

Mining association rules with multiple minimum supports using maximum constraints

Mining association rules with multiple minimum supports using maximum constraints

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

13

Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints

Mining Association Rules with Multiple Minimum Supports Using Maximum Constraints

... vary with different ...the minimum supports of itemsets when items have different minimum ...explained and may be suitable to some mining ...large-itemsets and association ... 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

... generate 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 ... See full document

8

Fuzzy perceptron neural networks for classifiers with numerical data and linguistic rules as inputs

Fuzzy perceptron neural networks for classifiers with numerical data and linguistic rules as inputs

... utilize and process numerical data only, ...sequentially and equally, but the mutual difference existing among them is ignored during the course of ...inputs and then learned by the training ... See full document

16

Mining Time Series Data with Fuzzy Association Rules

Mining Time Series Data with Fuzzy Association Rules

... Rules Data mining can be applied to discover the useful patterns and rules by exploring and analyzing a large quantity of ...of data from customer surveys, health studies, market ... See full document

7

A Unified Transaction Mining with Fuzzy Intentional Browsing Data

A Unified Transaction Mining with Fuzzy Intentional Browsing Data

... rules from IWTM p , IWTM np , IWTM u and IWTM uf are listed in Table ...derived from both IWTM p and IWTM np , but also generates two new rules by rejoining the split data ...p ... See full document

9

Ranking discovered rules from data mining with multiple criteria by data envelopment analysis

Ranking discovered rules from data mining with multiple criteria by data envelopment analysis

... constraints and measures for evaluat- ing association ...discovery and report- ing of some rules, a data miner can select the subjective interestingness measures in Step ...customers and which ... See full document

7

Mining Frequent Itemsets for data streams over Weighted Sliding Windows

Mining Frequent Itemsets for data streams over Weighted Sliding Windows

... the weighted sliding windows for data stream ...window, and the weight for each window. Thus, a more significant data section can be assigned a higher weight, which will make the mining ... See full document

6

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 fuzzy association ... See full document

6

Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers

Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers

... confidence and a support ...of transactions that contain the ...support and confidence are used to filter the set of association rules obtained from ...rules with at least minimum ... See full document

13

A flexible three-phased object-oriented data mining approach for sequential transactions

A flexible three-phased object-oriented data mining approach for sequential transactions

... it and propose a modified mining algorithm to derive sequential patterns from object-oriented data with more pruning ...results from the above two phases to find the sequential ... See full document

8

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