Mining Very Large Databases with Parallel Processing
Springer (Verlag)
978-0-7923-8048-1 (ISBN)
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.
The Motivation for Data Mining and Knowledge Discovery.- The Inter-disciplinary Nature of Knowledge Discovery in Databases (KDD).- The Challenge of Efficient Knowledge Discovery in Large Databases and Data Warehouses.- Organization of the Book.- I Knowledge Discovery and Data Mining.- 1 Knowledge Discovery Tasks.- 2 Knowledge Discovery Paradigms.- 3 The Knowledge Discovery Process.- 4 Data Mining.- 5 Data Mining Tools.- II Parallel Database Systems.- 6 Basic Concepts on Parallel Processing.- 7 Data Parallelism, Control Parallelism and Related Issues.- 8 Parallel Database Servers.- III Parallel Data Mining.- 9 Approaches to Speed up Data Mining.- 10 Parallel Data Mining without Dbms Facilities.- 11 Parallel Data Mining with Database Facilities.- 12 Summary and Some Open Problems.- References.
| Reihe/Serie | Advances in Database Systems ; 9 |
|---|---|
| Zusatzinfo | XIII, 208 p. |
| Verlagsort | Dordrecht |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Kryptologie | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 0-7923-8048-7 / 0792380487 |
| ISBN-13 | 978-0-7923-8048-1 / 9780792380481 |
| Zustand | Neuware |
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