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|a Clustering High--Dimensional Data
|h [electronic resource] :
|b First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers /
|c edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
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|a 1st ed. 2015.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2015.
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|a IX, 149 p. 41 illus. in color.
|b online resource.
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|b txt
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7627
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|a This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering. .
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|a Computer science.
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|a Algorithms.
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|a Database management.
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|a Data mining.
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|a Information storage and retrieval.
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|a Artificial intelligence.
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|a Computer Science.
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|a Database Management.
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|a Information Systems Applications (incl. Internet).
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|a Artificial Intelligence (incl. Robotics).
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|a Information Storage and Retrieval.
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|a Data Mining and Knowledge Discovery.
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|a Algorithm Analysis and Problem Complexity.
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|a Masulli, Francesco.
|e editor.
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|a Petrosino, Alfredo.
|e editor.
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|a Rovetta, Stefano.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662485767
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 7627
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|u http://dx.doi.org/10.1007/978-3-662-48577-4
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a Computer Science (Springer-11645)
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