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Data Mining in Crystallography by Liudmila N. Kuleshova, D. W. M. Hofmann (Hardcover, 2009)

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Product Information

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 techniques and methodologies for knowledge discovery. This has been aided by other discoveries in computer science, such as Neural networks, Clustering, Genetic algorithms (1950s), Decision trees (1960s) and Support vector machines (1980s). Data mining commonlyinvolves four classes of tasks: * Classi cation: Arranges the data into prede ned groups. For example, an e-mail program might attempt to classify an e-mail as legitimate or spam. Common algorithmsinclude Nearest neighbor,Naive Bayes classi er and Neural network. * Clustering: Is like classi cation but the groups are not prede ned, so the algorithm will try to group similar items together. * Regression: Attempts to nd a function which models the data with the least error. A common method is to use Genetic Programming. * Association rule learning: Searches for relationships between variables. For example, a supermarket might gather data of what each customer buys.

Product Identifiers

Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783642047589
eBay Product ID (ePID)
95058428

Product Key Features

Author
Liudmila N. Kuleshova, D. w. M. Hofmann
Publication Name
Data Mining in Crystallography
Format
Hardcover
Language
English
Subject
Chemistry, Physics
Publication Year
2009
Type
Textbook
Number of Pages
172 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
134
Item Weight
488g

Additional Product Features

Series Title
Structure and Bonding
Editor
D. w. M. Hofmann, Liudmila N. Kuleshova
Country/Region of Manufacture
Germany

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Data Mining in Crystallography by Liudmila N. Kuleshova, D. W. M. Hofmann (Hardcover, 2009)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

Eduqas GCSE (9-1) Religious Studies Route B: Catholic Christianity and Judaism by Deirdre Cleary, Andrew Barron, Joy White, Patrick Harrison (Paperback, 2017)

Australian Guidebook for Structural Engineers by Lonnie Pack (Paperback, 2019)

Taking Charge of Adult ADHD by Christine M. Benton, Russell A. Barkley (Paperback, 2021)

Time Management by Peter Quarry (Paperback, 1986)

Save on Adult Learning & University

Tim Heard Keeping Stingless Bee Hives For Pets, Pollination and Sugarbag Honey

Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by A

Netter Atlas of Human Anatomy: Classic Regional Approach

Classical Mechanics: The Theoretical Minimum by George Hrabovsky

Havard's Nursing Guide to Drugs

T. Jared Bunch Matthew LaPlante John D. Day The AFib Cure (Paperback)

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