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Titlebook: Data Mining and Big Data; Second International Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International Publis

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Finding Top-k Fuzzy Frequent Itemsets from Databasesthm, we employ a method to prune most of the fuzzy frequent itemsets immediately based on the monotony of itemset score. Theoretical analysis and experimental studies over 4 datasets demonstrate that our proposed algorithm can efficiently decrease the runtime and memory cost, and significantly outperform the naive algorithm ..
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Conference proceedings 2017in July/August 2017. .The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; te
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A Process for Exploring Employees’ Relationships via Social Network and Sentiment Analysis is used in conjunction with emotion detection, it is possible to see the positive or negative areas where the company must work to promote a healthy organizational culture and uncover possible organizational issues in a timely manner.
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