Data mining : practical machine learning tools and techniques /: practical machine learning tools and techniques. (2005)

• Record Type: Book
• Further Information: Note: Ian H. Witten, Eibe Frank.
• Other Names: Witten, I. H (Ian H.); Frank, Eibe
• Contents: Preface; ; 1. What’s it all about?; 2. Input: Concepts, instances, attributes; 3. Output: Knowledge representation; 4. Algorithms: The basic methods; 5. Credibility: Evaluating what’s been learned; 6. Implementations: Real machine learning schemes; 7. Transformations: Engineering the input and output; 8. Moving on: Extensions and applications; ; Part II: The Weka machine learning workbench; ; 9. Introduction to Weka; 10. The Explorer; 11. The Knowledge Flow interface; 12. The Experimenter; 13. The command-line interface; 14. Embedded machine learning; 15. Writing new learning schemes; ; References; Index
• Edition: 2nd ed
• Publisher Details: Place of publication not identified : Morgan Kaufmann
• Publication Date: 2005
• Extent: 1 online resource (560 pages)
• Subjects: 006.3; Data mining
• Languages: English
• ISBNs: 9780080477022
• Related ISBNs: 008047702X
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.