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20131117093000.0 |
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130530s2013 enk eng |
| 020 |
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|a 1447148835 (paperback : alk. paper)
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| 020 |
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|a 1447148843 (ebook)
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| 020 |
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|a 9781447148838 (paperback : alk. paper)
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| 020 |
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|a 9781447148845 (ebook)
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| 050 |
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|a QA76.9
|b .B73 2013
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| 090 |
0 |
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|a QA76.9
|b .B73 2013
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| 100 |
1 |
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|a Bramer, M. A. [
|q (Max A.)] ,
|d 1948- ,
|e author
|
| 245 |
1 |
0 |
|a Principles of data mining
|c Max Bramer
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| 250 |
|
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|a 2nd ed
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| 260 |
|
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|a London :
|b Springer ,
|c c2013
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| 300 |
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|a xiv, 440 p. :
|b ill. ;
|c 23 cm.
|
| 490 |
1 |
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|a Undergraduate topics in computer science
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| 504 |
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|a Includes bibliographical references and index
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| 520 |
|
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|a This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed examples, with a focus on algorithms rather than mathematical formalism
|
| 650 |
|
0 |
|a Data mining
|
| 999 |
|
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|a 1000159042
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
|