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Buku Teks :: Kembali

Data mining: practical machine learning tools and techniques

Ian H. Witten; Eibe Frank; Mark A. Hall (Elsevier , 2011)

 Abstrak

Part I. Machine Learning Tools and Techniques: 1. What?s iIt all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what?s been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.

 Kata Kunci

 Metadata

No. Panggil : 006.312 WIT d
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Amsterdam: Elsevier , 2011
Sumber Pengatalogan: LibUI eng rda
ISBN: 9780123748560
Tipe Konten: text
Tipe Media: unmediated
Tipe Carrier: volume
Edisi: Third edition
Catatan Seri: Morgan Kaufmann series in data management systems
Catatan Umum: Includes bibliographical references and index
Catatan Versi Asli:
Deskripsi Fisik: xxxiii, 629 pages : illustration ; 24 cm
Lembaga Pemilik: Universitas Indonesia
Lokasi: Perpustakaan UI, Lantai 2
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No. Panggil No. Barkod Ketersediaan
006.312 WIT d 01-15-01784 TERSEDIA
006.312 WIT d 01-15-01775 TERSEDIA
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