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Titlebook: Data Mining and Big Data; 4th International Co Ying Tan,Yuhui Shi Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artif

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书目名称Data Mining and Big Data
副标题4th International Co
编辑Ying Tan,Yuhui Shi
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Mining and Big Data; 4th International Co Ying Tan,Yuhui Shi Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artif
描述This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. .They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks..
出版日期Conference proceedings 2019
关键词artificial intelligence; clustering algorithms; data mining; data mining techniques; information retriev
版次1
doihttps://doi.org/10.1007/978-981-32-9563-6
isbn_softcover978-981-32-9562-9
isbn_ebook978-981-32-9563-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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A Visual Analytics on Mortality of Malignant Neoplasm and Organic Food toward the idea that more organic food means more health there are research who reject this notion. The basis of rejection toward this idea are varied, from the perspective of efficiency in organic food cultivation process to the research methodology itself. Due to the preface, this research tappin
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What Are You Reading: A Big Data Analysis of Online Literary Content content has become an important and active Internet resource and has now been formalized into a large and rapidly growing industry. Despite the great success of online literature platforms, little is known about the structure of literary content and patterns and characteristics in the creation and
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RETRACTED CHAPTER: Data Mining to Identify Risk Factors Associated with University Students Dropoutf questionnaires and interviews to students from several universities in Colombia. The information was processed by the Weka software following the Knowledge Extraction Process methodology with the purpose of facilitating the interpretation of results and finding useful knowledge about the students.
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Citescore of Publications Indexed in Scopus: An Implementation of Panel Dataus in 2017. With this purpose, journals with a CiteScore value greater than 11 were selected in any of the periods, that is to say, 133 journals. For the data analysis, a model of standard corrected errors for panel was used, from which a coefficient of determination of 77% was obtained. From the re
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IBA-Buffer: Interactive Buffer Analysis Method for Big Geospatial DataGISs have introduced many optimizing techniques like parallel processing, their performance deteriorates when the volume of data increases greatly. Quick interactive analysis of such data is significant in order to make the most of them. This paper presents IBA-Buffer, an interactive buffer analysis
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The Temporal Characteristics of a Wandering Along Parallel Semi-Markov Chains combining . ordinary semi-Markov processes, based on the fact that a semi-Markov matrix is transformed into a characteristic matrix, which is raised to a power, then the degrees of the characteristic matrix are summed.
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