Data mining crystallography (9 Ergebnisse)
Sprache: Englisch
Verlag: Heidelberg, Springer, 2010
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Sprache: Englisch
Verlag: Springer, 2009
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
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Weitere BilderSprache: Englisch
Verlag: Springer, 2012
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Taschenbuch. Zustand: Neu. Data Mining in Crystallography | D. W. M. Hofmann (u. a.) | Taschenbuch | Structure and Bonding | xiv | Englisch | 2012 | Springer | EAN 9783642261619 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: pre…igu.
Sprache: Englisch
Verlag: Springer, 2012
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
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Sprache: Englisch
Verlag: Springer, 2009
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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 Regr…ession 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.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2009
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Sprache: Englisch
Verlag: Springer, 2012
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Regr…ession 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.
Sprache: Englisch
Verlag: Springer Verlag, 2012
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
- Softcover
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Paperback. Zustand: Brand New. 2010 edition. 186 pages. 9.50x6.25x0.40 inches. In Stock.
Sprache: Englisch
Verlag: Springer Verlag, 2010
Serie: Structure and Bonding, Buch 2 von 52. Buch 2 von 52 - Structure and Bonding
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 172 pages. 9.25x6.25x0.75 inches. In Stock.
