| 書目名稱 | Principles of Data Mining | | 編輯 | Max Bramer | | 視頻video | http://file.papertrans.cn/756/755514/755514.mp4 | | 概述 | Presents the principal techniques of data mining with particular emphasis on explaining and motivating the techniques used.Each topic is clearly explained, with a focus on algorithms not mathematical | | 叢書名稱 | Undergraduate Topics in Computer Science | | 圖書封面 |  | | 描述 | .This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering...Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail...It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science..As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the ‘black box‘ so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field...Each chapter has practical exercises to enable readers t | | 出版日期 | Textbook 2020Latest edition | | 關(guān)鍵詞 | Associate Rule Mining; Attribute Selection; Classification; Classifiers; Clustering; Data Mining; Datasets | | 版次 | 4 | | doi | https://doi.org/10.1007/978-1-4471-7493-6 | | isbn_softcover | 978-1-4471-7492-9 | | isbn_ebook | 978-1-4471-7493-6Series ISSN 1863-7310 Series E-ISSN 2197-1781 | | issn_series | 1863-7310 | | copyright | Springer-Verlag London Ltd., part of Springer Nature 2020 |
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