Search Results - (( _ application ((mining algorithm) OR (new algorithm)) ) OR ( web application drops algorithm ))*
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…During the mining process, the mining algorithm reduces the number of candidate patterns and comparisons by using a new candidate set called candidate head set and several efficient pruning techniques. …”
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Article -
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…The project's objective is identifying the available data mining algorithms in data classification and applying new data mining algorithm to perform classification tasks. …”
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Final Year Project -
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…Besides, this algorithm provides home users or application developers to implement their own event operators with bespoke syntax for their application purpose by defining cross-events corresponding to the event operators. …”
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Thesis -
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Mining Of Resource Usage Using Evoc Algorithm In Grid Environment.
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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journal::journal article -
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Genetic Algorithm for Web Data Mining
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Project Paper Report -
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Discovering association rules for mining images datasets: a proposal
Published 2005Get full text
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Conference or Workshop Item -
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An extended ID3 decision tree algorithm for spatial data
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Direct approach for mining association rules from structured XML data
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Thesis -
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MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
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Citation Index Journal -
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MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
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Citation Index Journal -
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An Efficient Data Structure for General Tree-Like Framework in Mining Sequential Patterns Using MEMISP
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of applications. …”
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Conference or Workshop Item -
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Frequent itemset mining in high dimensional data: a review
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Proceeding Paper
