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by Pralhad Ramachandrarao,Witold Pedrycz,Animesh Adhikari

  • ISBN: 1849960437
  • Author: Pralhad Ramachandrarao,Witold Pedrycz,Animesh Adhikari
  • ePub ver: 1992 kb
  • Fb2 ver: 1992 kb
  • Rating: 4.5 of 5
  • Language: English
  • Pages: 130
  • Publisher: Springer; 2010 edition (June 8, 2010)
  • Formats: txt docx lrf azw
  • Category: IT
  • Subcategory: Networking & Cloud Computing
epub Developing Multi-Database Mining Applications (Advanced Information and Knowledge Processing) download

Multi-database mining has been recognized recently as an important and .

In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. Adhikari’s areas of interest include: data mining and knowledge discovery, database systems, decision support systems, artificial intelligence, statistics and other related topics.

Developing Multi-Database Mining Applications (Advanced Information and Knowledge Processing). Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz. Скачать (pdf, . 3 Mb).

Animesh Adhikari · Pralhad Ramachandrarao · Witold Pedrycz. We discuss different applications of multi-database mining in Section . Developing Multi-database Mining Applications. Discovering knowledge from a large database is an interesting yet highly chal-lenging issue. In many applications, multiple databases are required to be mined. In Section ., we present various issues on the development of effective multi-database mining applications. Distributed Data Mining.

Developing Multi-Database Mining Applications. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. by Animesh Adhikari, Witold Pedrycz, Pralhad Ramachandrarao. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications.

Series: Advanced information and knowledge processing. File: PDF, . 3 MB. Читать онлайн.

Categories: Mathematics\Applied Mathematicsematics. Series: Advanced information and knowledge processing.

Animesh Adhikari, Pralhad Ramachandrarao . Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application.

In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications

In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application

Information systems and intelligent knowledge processing are playing an. .

Information systems and intelligent knowledge processing are playing an increasing role in business, science and technology. Recently, advanced information systems have evolved to facilitate the co-evolution of human and information networks within communities. Books in the series have a strong focus on information processing combined with, or extended by, new results from adjacent sciences.

Multi-database mining has been recognized recently as an important and strategically . by Animesh Adhikari,Pralhad Ramachandrarao,Witold Pedrycz. Advanced Information and Knowledge Processing. Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz

Developing Multi-Database Mining Applications. In this book, we discuss various issues regarding the systematic an. More).

Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.

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