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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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发表于 2025-3-21 18:29:38 | 显示全部楼层 |阅读模式
书目名称Data Mining and Big Data
副标题Second International
编辑Ying Tan,Hideyuki Takagi,Yuhui Shi
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Data Mining and Big Data; Second International Ying Tan,Hideyuki Takagi,Yuhui Shi Conference proceedings 2017 Springer International Publis
描述This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in 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; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. 
出版日期Conference proceedings 2017
关键词artificial intelligence; big data; classification algorithm; computer aided instruction; data communicat
版次1
doihttps://doi.org/10.1007/978-3-319-61845-6
isbn_softcover978-3-319-61844-9
isbn_ebook978-3-319-61845-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendatimade by other users, which is not an effective way when confronting loaded of information and especially if the buyers are beginner users who have limited experience and knowledge. To deal with these problems, we propose a framework of purpose-oriented recommendation which present a ranking of produ
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Finding Top-k Fuzzy Frequent Itemsets from DatabasesNevertheless, frequent itemsets are redundant for the users. A better way is to show the top-k results accordingly. In this paper, we define the score of fuzzy frequent itemset and propose the problem of top-k fuzzy frequent itemset mining, which, to the best of our knowledge, has never been focused
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Correlation Analysis of Diesel Engine Performance Testing Data Based on Mixed-Copula Methodring the diesel engine performance testing process including many control parameters which are strongly coupled with each other, it is difficult to carry out accurate probability distribution description and correlation analysis, this paper presents a correlation analysis method based on mixed copul
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Incremental Adaptive Time Series Prediction for Power Demand Forecastinge in grid and related costs. Our forecasting method is designed to process continuous stream of data from smart meters incrementally and to adapt the prediction model to concept drifts in power demand. It identifies drifts using a condition based on an acceptable distributor’s daily imbalance. Using
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