Data mining : practical machine learning tools and techniques
By: Witten, Ian H
Title By: Frank, Eibe | Hall, Mark A | Pal, Christopher J
Material type: BookPublisher: Cambridge, MA : Morgan Kaufmann Publisher, c2017.Edition: 4th ed.Description: xxxii, 621 p. : ill. ; 24 cm.ISBN: 978-0128042915Program: INFO911Subject(s): Data miningDDC classification: 006.312 WI DA Online resources: Location Map
Summary:
"Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything. They need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches." -- back of the cover.
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | Course reserves |
---|---|---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 006.312 WI DA (Browse shelf) | Available | Nov2019 | T0063456 | |||
REGULAR | University of Wollongong in Dubai Main Collection | 006.312 WI DA (Browse shelf) | Available | T0055551 |
Total holds: 0
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006.312 VE US Using openrefine : | 006.312 WA IN Innovative techniques and applications of entity resolution / | 006.312 WI DA Data mining : | 006.312 WI DA Data mining : | 006.312 WI DA Data mining with Rattle and R : | 006.312 WI DA Data mining with Rattle and R : | 006.312 WI DA Data mining : |
"Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything. They need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches." -- back of the cover.
INFO911