Verlag: Tsinghua University Press, 2000
ISBN 10: 7302174741 ISBN 13: 9787302174745
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 53,03
Währung umrechnenAnzahl: 3 verfügbar
In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Publisher: Tsinghua University.
Verlag: Xiamen University Press, 2016
ISBN 10: 7561559712 ISBN 13: 9787561559710
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 56,03
Währung umrechnenAnzahl: 5 verfügbar
In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2016-03-01 Pages: 160 Language: Chinese Publisher: Xiamen University Press text mining technology and its application consists of four parts. The first part consists of two chapters. describes the common text mining techniques. summarize the basic processes. The second part consists of five chapters. the R software introduces text mining. including the introduction and installation of R software. text mining required for basic R package. Facebook. Weibo. Twitter. and othe.
Verlag: Xiamen University Press, 2016
ISBN 10: 7561560125 ISBN 13: 9787561560129
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 74,40
Währung umrechnenAnzahl: 5 verfügbar
In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2016-05-01 Pages: 328 Language: Chinese Publisher: Xiamen University Press in order to enhance data mining and statistical analysis capabilities of Excel. Microsoft provides a free SQL Server 2012 Data Mining Add-ins. Through this program. Excel 2013 can quickly accomplish many professional data mining software to complete the task. In large data processing very frequent and urgent times. many scholars faced with how to implement data mining model problems in study or wor.
Verlag: Peking University Press, 2019
ISBN 10: 7301307101 ISBN 13: 9787301307106
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 114,82
Währung umrechnenAnzahl: 3 verfügbar
In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2019-09-01 Pages: 408 Publisher: Peking University Press statistics from the nature of the cognitive disciplines and computer science. big data refers to those systems over conventional data processing capabilities beyond the scope of classical statistical research ideas. not unable to borrow a set of stand-alone network analysis of complex data using mainstream software tools and technology for this data set .