Mining Very Large Databases with Parallel Processing

Released on by Alex A. Freitas
preview-18

  • Mining Very Large Databases with Parallel Processing Book Detail

  • Author : Alex A. Freitas
  • Release Date : 2012-12-06
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 211
  • ISBN 13 : 1461555213
  • File Size : 10,10 MB
DOWNLOAD BOOK

Mining Very Large Databases with Parallel Processing by Alex A. Freitas PDF Summary

Book Description: Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.

Disclaimer: www.yourbookbest.com does not own Mining Very Large Databases with Parallel Processing books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Large-Scale Parallel Data Mining

Large-Scale Parallel Data Mining

File Size : 35,35 MB
Total View : 3359 Views
DOWNLOAD

With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extrac

Mining of Massive Datasets

Mining of Massive Datasets

File Size : 61,61 MB
Total View : 7070 Views
DOWNLOAD

Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Data Mining

Data Mining

File Size : 18,18 MB
Total View : 7453 Views
DOWNLOAD

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and

Euro-Par’ 99 Parallel Processing

Euro-Par’ 99 Parallel Processing

File Size : 88,88 MB
Total View : 8405 Views
DOWNLOAD

Euro-Parisaninternationalconferencededicatedtothepromotionandadvan- ment of all aspects of parallel computing. The major themes can be divided into the broad ca