Mathematical Tools for Data Mining (Record no. 57989)
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000 -LEADER | |
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fixed length control field | 03248nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4471-6407-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112231.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140327s2014 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781447164074 |
-- | 978-1-4471-6407-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.312 |
100 1# - AUTHOR NAME | |
Author | Simovici, Dan A. |
245 10 - TITLE STATEMENT | |
Title | Mathematical Tools for Data Mining |
Sub Title | Set Theory, Partial Orders, Combinatorics / |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd ed. 2014. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XI, 831 p. 93 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Advanced Information and Knowledge Processing, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Sets, Relations and Functions -- Partially Ordered Sets -- Combinatorics -- Topologies and Measures -- Linear Spaces -- Norms and Inner Products -- Spectral Properties of Matrices -- Metric Spaces Topologies and Measures -- Convex Sets and Convex Functions -- Graphs and Matrices -- Lattices and Boolean Algebras -- Applications to Databases and Data Mining -- Frequent Item Sets and Association Rules -- Special Metrics -- Dimensions of Metric Spaces -- Clustering. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained, and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Mathematics. |
700 1# - AUTHOR 2 | |
Author 2 | Djeraba, Chabane. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4471-6407-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | London : |
-- | Springer London : |
-- | Imprint: Springer, |
-- | 2014. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer mathematics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematics of Computing. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Discrete Mathematics in Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Mathematics and Numerical Analysis. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1610-3947 |
912 ## - | |
-- | ZDB-2-SCS |
No items available.