data mining principles applications (45 résultats)

Soft cover. Etat : New. Language:Chinese.Author:PAN HUA XIANG TONG DE.Binding:Soft cover.Publisher:China Electric Power Press Pub. Date :2007-12-01.

paperback. Etat : New. Language:Chinese.Paperback Pages Number: 255 colleges and universities computer professional 12th Five-Year planning materials: Principles of data mining. algorithms and application of various types of data mining algorithms as the core technology development of the main line. intelligent data analysis. combined with their own research and applications experience on data mining research field of theory and algorithms. The book is divided into eight chapters: Chapter 1 is the introduction; Cha.

Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 420.

Etat : New. In.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 185.

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2021-12-01 Pages:304 Publisher:Machinery Industry Press At present. data mining courses have become a data science thinking improvement course in my country's new engineering education. and become a major part of the information. electronics and other engineering undergraduate students and A compulsory course for graduate students. This book introduces the knowledge of data mining and data analysis. and various commonly used algorithms in a simple and simpl.

paperback. Etat : New. Paperback. Pub Date: 2016-04-01 Pages: 304 Language: Chinese Publisher: China Electric Power Press Thirteen Five normal planning materials Higher Power Enterprise Information Technology Series of data warehouse and data mining principles. tools and applications ( second Edition) comprehensive insight into the data warehouse. online analytical processing (OLAP) and data mining of the basic concepts. tools and practical applications. The book is divided into three. data warehouse and data minin.

paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-01-01 Pages: 175 Language: Chinese Publisher: Lixin Accounting Press E-commerce in Higher Education Twelfth Five Year Plan key textbook : Principles of data mining and business application covers how to use related software products to achieve the classic data mining algorithms and techniques . but also covers data mining technology in the business field of application . This book not only suitable for computer application technology . but also for economics and mana.Four Satisfaction guaranteed,or money back.

paperback. Etat : New. Pub Date: 2015-01-01 Pages: 373 Language: Chinese Publisher: Tsinghua University Press data warehouse and data mining Principles and Applications (Second Edition) comprehensive introduction to the principles of data warehouse and data mining and its applications. systems elaborated data warehouse and data mining concepts and basics of the main algorithm. combined with specific examples of current applications in various fields and further help readers deepen understanding. and strive to apply.

paperback. Etat : New. Paperback. Pub Date: 2010 07 Pages: 492 Language: Chinese in Publisher: Tsinghua University Press SQL Server Data Mining is the industry's most widely used data mining server. Business users (and even academic experts and scientists) are using the SQL Server data mining techniques. because this technology can be highly scalable. easy access to wide range of functions and ease of use. SQL Server 2008 version with exciting new improvements in the area of ??data mining. this book is a classic of.

paperback. Etat : New. Paperback. Pub Date: 2020-10-01 Pages: 292 Language: Chinese Publisher: Science Press The feature of this book is to illustrate the application of different data mining methods in various fields with examples.?Various data mining methods are studied from different application fields. and each chapter is a complete research topic. These topics are the research results of the author's group. so they are more systematic.