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00000cam a2200000 7i4500 |
| 001 |
0000096344 |
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20210201093000.0 |
| 008 |
190618s2017 mau eng |
| 020 |
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|a 9780128042915
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| 040 |
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|a UniSZA
|e rda
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| 050 |
0 |
0 |
|a QA76.9 .D343
|b W58 2017
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| 090 |
0 |
0 |
|a QA76.9 .D343
|b W58 2017
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| 100 |
1 |
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|a Witten, Ian H. ,
|e author
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| 245 |
1 |
0 |
|a Data mining :
|b practical machine learning tools and techniques
|c Ian H. Witten , Eibe Frank, Mark A. Hall and Christopher J. Pal
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| 250 |
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|a Fourth edition
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| 264 |
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0 |
|a Cambridge :
|b Morgan Kaufmann
|c c2017
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| 300 |
|
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|a xxxii, 621 pages :
|b illustrations ;
|c 27 cm.
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| 336 |
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|a text
|2 rdacontent
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| 337 |
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|a unmediated
|2 rdamedia
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| 338 |
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|a volume
|2 rdacarrier
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| 504 |
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| 505 |
0 |
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|a 1. What's it all about -- 2. Input; concepts, instance, attributes -- 3. Output: knowledge representation -- 4. Algorithms: the basic methods -- 5. Credibility:evaluating what's been learned -- 6. Tress and rules -- 7. extending instance-based and linear models -- 8. data transformations -- 9. Probabilistics methods -- 10. deep learning -- 11. Beyond supervised and unsupervised learning -- 12. Ensemble learning -- 13. Moving on: applications and beyond
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| 650 |
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0 |
|a Data mining
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| 700 |
1 |
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|a Frank, Eibe ,
|e author
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| 700 |
1 |
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|a Hall, Mark A. ,
|e author
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| 700 |
1 |
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|a Pal, Christopher J. ,
|e author
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| 999 |
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|a 1000177106
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
|