Jacob Kogan – författare
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10 produkter
Text Mining
Applications and Theory
Av Jacob Kogan, Michael W. Berry
E-bok, 2010
1287 kr
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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the …
Text Mining
Applications and Theory
Av Michael W. Berry, Michael W. Berry m. fl.
Inbunden, 2010
1175 kr
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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the …
Introduction to Clustering Large and High-Dimensional Data
Av Jacob Kogan
Häftad, 2006
687 kr
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There is a growing need for a more automated system of partitioning data sets into groups, or clusters. For example, digital libraries and the World Wide Web continue to grow exponentially, the ability to find useful information increasingly depends on the indexing infrastructure or search engine. …
Robust Stability and Convexity
An Introduction
Av Jacob Kogan
Häftad, 1994
552 kr
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A fundamental problem in control theory is the stability of a given linear system. The design of a control system is generally based on a simplified model. The true values of the physical parameters may differ from the assumed values. This monograph addresses stability problems for linear systems …
Grouping Multidimensional Data
Recent Advances in Clustering
Av Jacob Kogan, Charles Nicholas m. fl.
Inbunden, 2005
1129 kr
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Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or …
Grouping Multidimensional Data
Recent Advances in Clustering
Av Marc Teboulle, Charles Nicholas m. fl.
E-bok, 2006
1427 kr
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Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or …
Grouping Multidimensional Data
Recent Advances in Clustering
Av Jacob Kogan, Charles Nicholas m. fl.
Häftad, 2010
1129 kr
Lägg i varukorg
Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or …
Text Mining – Applications and Theory
Av Michael W. Berry, Jacob Kogan
2010
978 kr
Tillfälligt slut
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the …
