Application Practice Data Mining (9 results)

Taschenbuch. Condition: Neu. Data Mining in Management and Practice | [.] mining methodology and application [.] mining in Management strategies 3.Implemented Data Mining | Neville C. Pradeep | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783846584422 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condition: New. Paperback. Pub Date :2013-12-01 Pages: 416 Language: Chinese Publisher: Xiamen University Press. renowned international experts in the field of data mining Tao and led the team summarizes recent research results to practical data mining as the cornerstone erected from bridge between research and application. to help readers learn from the example application data outside of mining. Application and practice of data mining: the era of big data analysis of the case is not divided by the theoreti.

paperback. Condition: New. Language:Chinese.Pages Number: 13516 Publisher: Machinery Industry Press. Pub. Date :2008-04. Clementine is SPSS s data mining tool for integrated development platform. Clementine with commercial technology can quickly build predictive models. and thus applied to commercial activities. to help people improve decision-making process. This book describes the Clementine 11.0 data mining applications. Clementine 11.0 includes new features. data mining started to build the data flow. field operati.

paperback. Condition: New. Paperback. Pub Date: 2022-08-01 Pages: 169 Language: Chinese Publisher: Central South University Press Basic knowledge. data processing research in education informatization. the significance and impact of educational big data on the modern education system. and the application and practice of educational big data based on data mining are composed of six parts. The whole book takes data mining technology and educational big data as the research objects. Analyzing the application of data minin.

paperback. Condition: New. Paperback. Pub Date: 2020-11-01 Pages: 240 Language: Chinese Publisher: Science Press Data Mining Principles. Methods and Python Application Practice Course systematically teaches the principles. main methods and Python implementation of data mining. divided into three Part: The first part contains chapters 1 to 2. which introduces the basic concepts. processes and data preprocessing of data mining; the second part contains chapters 3 to 11. which introduces classic classification algorithms .

paperback. Condition: New. Paperback. Pub Date:2016-08-01 Pages:548 Language: Publisher: Chinese Tsinghua University press book by the representative of today's data mining and machine learning * high level famous open source software Weka. through a lot of practice. so that readers understand and master data mining and machine learning related skills learning. to narrow the distance between theory and practice.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-12-01 Pages: 398 Publisher: Peking University Press. People generate massive amounts of data through the Internet and mobile devices every day. How to get insights into the insights behind these data is our research What it means.?In the past. people always said that information is power. Nowadays. analyzing. using and mining big data is where power lies.?As a book on big data. this book is a summary of the author's long-term scientific research work.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2020-08-01 Pages: 480 Publisher: Mechanical Industry Press SPSS is a classic and popular statistical analysis software. which is completely suitable as a tool for data mining and data analysis in various industries.?The book contains 12 chapters. Chapters 1~2 introduce the basic knowledge of SPSS's basic interface and window operation. investigation and research. SPSS data sorting and data mining; Chapters 3~12 introduce 10 comprehensive cases of typical .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-06-01 Pages: 229 Publisher: Tongji University Press's traditional means of traffic flow survey. household travel survey and other means are limited by cost. time. organization and implementation. and can only select typical Time slices. the implementation of small sample sampling survey. the data obtained is very limited. and the quality is not stable. With the help of big data analysis methods. it is possible to break through the limitations of trad.