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Data Mining in Crystallography
. Ed(S): Hofmann, D.W.M.; Kuleshova, Liudmila N.
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Description for Data Mining in Crystallography
Hardback. Editor(s): Hofmann, D.W.M.; Kuleshova, Liudmila N. Series: Structure and Bonding. Num Pages: 186 pages, 45 black & white illustrations, 29 colour illustrations, biography. BIC Classification: PHFC; PNK; PSBC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 484.
Humans have been “manually” extracting patterns from data for centuries, but the increasing volume of data in modern times has called for more automatic approaches. Early methods of identifying patterns in data include Bayes’ theorem (1700s) and Regression analysis (1800s). The proliferation, ubiquity and incre- ing power of computer technology has increased data collection and storage. As data sets have grown in size and complexity, direct hands-on data analysis has - creasingly been augmented with indirect, automatic data processing. Data mining has been developed as the tool for extracting hidden patterns from data, by using computing power and applying new ... Read more
Humans have been “manually” extracting patterns from data for centuries, but the increasing volume of data in modern times has called for more automatic approaches. Early methods of identifying patterns in data include Bayes’ theorem (1700s) and Regression analysis (1800s). The proliferation, ubiquity and incre- ing power of computer technology has increased data collection and storage. As data sets have grown in size and complexity, direct hands-on data analysis has - creasingly been augmented with indirect, automatic data processing. Data mining has been developed as the tool for extracting hidden patterns from data, by using computing power and applying new ... Read more
Product Details
Format
Hardback
Publication date
2009
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
186
Condition
New
Series
Structure and Bonding
Number of Pages
172
Place of Publication
Berlin, Germany
ISBN
9783642047589
SKU
V9783642047589
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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