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This monograph provides an up-to-date overview on methods and techniques in seismology, with a focus on describing and detecting seismic waves in anisotropic media. The author discusses structural, physical and mechanical aspects of the crust by analyzing earthquake data from field studies, rendering the book a practical reference for researchers in seismology and applied geophysics.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry. Preliminary community fault model, community velocity model, and community strain rate model in the CSES are described in this book. A multidisciplinary test observation system includes GNSS, seismic array, and deep drilling system under construct around middle segment of the...

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.

"Optimization based Data Mining: Theory and...

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.

"Optimization based Data Mining: Theory and...

An essential text for readers wishing to use data mining methods to cope with management and engineering design problems within a company, Data Mining: Concepts, Methods and Applications in Management and Engineering Design stands out from other data mining books by introducing in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Organized in two parts, the first part is a primer that introduces data mining to those readers who are not familiar with it. This section of the book...