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Mining Very Large Databases With Parallel Processing

RRP $59.99

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.


History Of Gold Mining In The United States

RRP $16.99

Gold was known by the Indians to exist in the United States long before the white people discovered it, but unlike the Indians of Mexico, the more northern natives did not make elaborate use of it, and it did not seriously attract the attention of the settlers until shortly before the beginning of the nineteenth century. No very important mining, however, was done until after 1800, when a little gold began to be obtained in North Carolina. Long before that time the gold of California had also been known to the natives and to the Franciscan monks, but that country then belonged to Mexico and was not taken by the United States until 1846...


Data Mining And Modeling Of Hiv/aids Dynamics

RRP $285.99

The first book to integrate HIV biological and clinical topics with data mining techniques, this volume offers a comprehensive, multidisciplinary source of information for clinicians, biologists, and computational scientists. It addresses problems at the intersection of HIV biology and evolution, clinical and medical problems, and computational methods for mining and modeling HIV/AIDS biological and clinical data. Key features include databases and data management and analysis tools, plus several case studies and their solutions using real datasets collected over several years from actual HIV infected individuals.



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Mining Stocks Commodity Trading Gold Mining Mining
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Victorian Petroleum Companies