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Soft Computing for Knowledge Discovery and Data Mining by Maurice Kleman, Oleg D. Lavrentovich is a nonfiction available to read on EtoBox.

What is Soft Computing for Knowledge Discovery and Data Mining about?

Introductions to solid state physics have, ever since the initial book by F. Seitz in 1940, concentrated on simple crystals, with few atoms per cell, bonded together by strong ionic, covalent, or metallic bonds. References to weaker bonds, such as van der Waals forces in rare gases, or to geometric or chemical disorder (e.g., alloys or glasses) have been limited. The physical understanding of this?eld started well before Seitz's book and led to a number of Nobel prizes after the last war. Applications cover classical metallurgy, el- tronics, geology and building materials, as well as electrical and ionic transport, chemical reactivity, ferroelectricity and magnetism. But in parallel with this general and well publicized trend, and sometimes earlier as far as physical concepts were concerned, an exploration and increasingly systematic study of softer matter has developed through the twentieth century. More often in the hands of physical chemists and crystallographers than those of pure physicists, the?eld had for a long time a reputation of complexity. If progress in polymers was steady but slow, interest in liquid crystals had lain dormant for forty years, after a bright start last

Who reads Soft Computing for Knowledge Discovery and Data Mining?

Author

Maurice Kleman, Oleg D. Lavrentovich

Publisher

Springer New York

Published

2008

Language

EN

ISBN

9781850328421

Category

nonfiction

Subjects

Science, Engineering, Computer Science

Rating

5 / 5 (1 ratings)

Updated

2026-03-25