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Titlebook: Data Mining and Big Data; Third International Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer International Publishing

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發(fā)表于 2025-3-21 19:45:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Mining and Big Data
副標(biāo)題Third International
編輯Ying Tan,Yuhui Shi,Qirong Tang
視頻videohttp://file.papertrans.cn/263/262921/262921.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Data Mining and Big Data; Third International  Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer International Publishing
描述This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; data mining; information retrieval; internet; classification; World Wide Web; soc
版次1
doihttps://doi.org/10.1007/978-3-319-93803-5
isbn_softcover978-3-319-93802-8
isbn_ebook978-3-319-93803-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書目名稱Data Mining and Big Data影響因子(影響力)




書目名稱Data Mining and Big Data影響因子(影響力)學(xué)科排名




書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度




書目名稱Data Mining and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Data Mining and Big Data年度引用學(xué)科排名




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Methodology for the Reduction and Integration of Data in the Performance Measurement of Industries Crial strategies, of easy mensuration as a result, automatic and that it facilitates to summarize a big amount of criteria and data, through their standardization, and thus the realization of comparisons with other production plants.
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Conference proceedings 2018in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification,
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Steve Taylor,Tim Matton-Johnsonthods of cluster analysis, classification and regression to this data matrix in order to organize semantic space of cases and thus increase the relevance of their retrieval. We explore possibilities of fuzzy logic approaches for building fuzzy rules and classification trees.
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A Comparative Study Between Feature Selection Algorithmstative task in the elimination of noise, in order to improve the quality of the dataset. Subsequently, each algorithm is described in order that the reader understands its function. Then the algorithms are applied using different data sets and obtaining the results in the selection. Finally, the conclusions of this investigation are presented.
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Combination of Case-Based Reasoning and Data Mining Through Integration with the Domain Ontologythods of cluster analysis, classification and regression to this data matrix in order to organize semantic space of cases and thus increase the relevance of their retrieval. We explore possibilities of fuzzy logic approaches for building fuzzy rules and classification trees.
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