Search Results - (( web application new algorithm ) OR ( _ application ((mining algorithm) OR (acs algorithm)) ))
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Genetic Algorithm for Web Data Mining
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Efficient prime-based method for interactive mining of frequent patterns.
Published 2011“…This is because the appropriate value depends on the type of application and expectation of the user. Moreover, in some real-time applications such as web mining and e-business, finding new correlations between patterns by changing the minimum support threshold is needed. …”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Direct approach for mining association rules from structured XML data
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Dynamic modeling by usage data for personalization systems
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An efficient fuzzy C-least median clustering algorithm
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A hybrid Method Of Centroid-Based Clustering And Meta-Heuristic For Personalized Web Search
Published 2024Subjects: “…Computer algorithms -- Application software…”
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An improved ACS algorithm for data clustering
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Improvement DACS3 Searching Performance using Local Search
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Mining and integration of oral cancer genomics for predictive therapeutics / Bernard Lee Kok Bang
Published 2019“…Importantly, application of these two tools led to the discovery of bosutinib as a new, promising drug candidate to be repurposed for treating oral cancer in the future.…”
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…We have improved the precision in NER from text using the new proposed method that calls FSVM for NER. In our method we have employed Support Vector Machine as one of the best machine learning algorithm for classification and we contribute a new fuzzy membership function thus removing the Support Vector Machine’s weakness points in NER precision and multi classification. …”
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Multi-label learning based on positive label correlations using predictive apriori
Published 2019“…Along with that, two algorithms have been constructed by capturing the positive correlations where the first algorithm (MLR-PC) captures the positive global correlations and the second algorithm (MLCBA) proposes an adaption of AC algorithm to handle MLC based on the positive local correlations. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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