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Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall
| Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall |
| Autore | Witten I. H (Ian H.) |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Amsterdam, : Elsevier/Morgan Kaufmann, 2011 |
| Descrizione fisica | 1 online resource (665 p.) : ill |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
FrankEibe
HallMark A |
| Collana | The Morgan Kaufmann Series in Data Management Systems |
| Soggetto topico | Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-95388-5
9786612953880 0-08-089036-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Machine learning tools and techniques: 1. What's it 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. |
| Record Nr. | UNINA-9910459549103321 |
Witten I. H (Ian H.)
|
||
| Amsterdam, : Elsevier/Morgan Kaufmann, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall
| Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall |
| Autore | Witten I. H (Ian H.) |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Amsterdam, : Elsevier/Morgan Kaufmann, 2011 |
| Descrizione fisica | 1 online resource (665 p.) : ill |
| Disciplina | 006.3/12 |
| Altri autori (Persone) |
FrankEibe
HallMark A |
| Collana | The Morgan Kaufmann Series in Data Management Systems |
| Soggetto topico | Data mining |
| ISBN |
1-282-95388-5
9786612953880 0-08-089036-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Machine learning tools and techniques: 1. What's it 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. |
| Record Nr. | UNINA-9910785305703321 |
|
Witten I. H (Ian H.)
|
||
| Amsterdam, : Elsevier/Morgan Kaufmann, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall
| Data mining : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall |
| Autore | Witten I. H (Ian H.) |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Amsterdam, : Elsevier/Morgan Kaufmann, 2011 |
| Descrizione fisica | 1 online resource (665 p.) : ill |
| Disciplina |
006.3/12
006.312 |
| Altri autori (Persone) |
FrankEibe
HallMark A |
| Collana | The Morgan Kaufmann Series in Data Management Systems |
| Soggetto topico | Data mining |
| ISBN |
9786612953880
9781282953888 1282953885 9780080890364 0080890369 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Machine learning tools and techniques: 1. What's it 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. |
| Record Nr. | UNINA-9910822335803321 |
|
Witten I. H (Ian H.)
|
||
| Amsterdam, : Elsevier/Morgan Kaufmann, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||