Search Results - (( based text mining algorithm ) OR ( java implication based algorithm ))
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Modifying iEclat algorithm for infrequent patterns mining
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Tree-based contrast subspace mining method
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Modifying iEclat algo ithm for infrequent patterns mining
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A prototype for context identification of scientific papers via agent-based text mining
Published 2023Conference Paper -
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A Rough-Apriori Technique in Mining Linguistic Association Rules
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A Text Mining Algorithm Optimising the Determination of Relevant Studies
Published 2023Conference Paper -
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Using text mining algorithm to detect gender deception based on Malaysian chat room lingo / Dianne L. M. Cheong and Nur Atiqah Sia Abdullah @ Sia Sze Yieng
Published 2006“…Inference can be made both from writing style and from clues hidden in the posting data. A text-mining algorithm was designed to detect gender deception based on gender-preferential features at the word or clause level of Malaysian e-mail users. …”
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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Using text mining algorithm to detect gender deception based on Malaysian chatroom lingo / Dianne L.M. Cheong and Nur Atiqah Sia Abdullah@Sia Sze Yieng
Published 2006“…Based on this designed text algorithm, a prototype in Visual Basic is developed. …”
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Research Reports -
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A frequent pattern mining algorithm based on FP-growth without generating tree
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Web usage mining for UUM learning care using association rules
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Context identification of scientific papers via agent-based model for text mining (ABM-TM)
Published 2023“…In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…This paper investigates the effects of using a multiobjective genetic algorithm (MOGA) based clustering technique to cluster texts for topic extraction which is designed based on the structure and purity of the clusters in order to determine the optimal initial centroids and the number of clusters, k. …”
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