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.
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...
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.
Victorian Petroleum Companies Articles
Victorian Petroleum Companies Books
Victorian Petroleum Companies