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Data mining : Practical machine learning tools and techniques / Ian H. Witten ... [et al.]
Data mining : Practical machine learning tools and techniques / Ian H. Witten ... [et al.]
Autore Witten, Ian H.
Edizione [4th ed.]
Pubbl/distr/stampa Amsterdam : Elsevier : Morgan Kaufmann, c2017
Descrizione fisica XXXII, 621 p. ; 24 cm
Disciplina 006.3
Soggetto non controllato Informatica
Intelligenza artificiale
Informatica applicata alla statistica
ISBN 978-0-12-804291-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910272059703321
Witten, Ian H.  
Amsterdam : Elsevier : Morgan Kaufmann, c2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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-9910822335803321
Witten I. H (Ian H.)  
Amsterdam, : Elsevier/Morgan Kaufmann, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank
Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank
Autore Witten, Ian H.
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; Boston [Ma.] : Morgan Kaufmann, c2005
Descrizione fisica xxxi, 525 p. : ill. ; 24 cm
Disciplina 006.3
Altri autori (Persone) Frank, Eibe
Collana The Morgan Kaufmann series in data management systems
Soggetto non controllato Basi di dati
Data mining
ISBN 0-12-088407-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990008474970403321
Witten, Ian H.  
Amsterdam ; Boston [Ma.] : Morgan Kaufmann, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank
Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank
Autore Witten, Ian H.
Edizione [2. ed.]
Pubbl/distr/stampa Boston : Morgan Kaufman, c2005
Descrizione fisica XXXi, 525 p. : ill. ; 25 cm
Disciplina 006.3
Altri autori (Persone) Frank, Eibe
Collana The morgan Kaufmann series in data management systems
Soggetto non controllato Intelligenza artificiale
ISBN 978-0-12-088407-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNIPARTHENOPE-000008289
Witten, Ian H.  
Boston : Morgan Kaufman, c2005
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui
Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank
Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank
Autore Witten I. H (Ian H.)
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, MA, : Morgan Kaufman, 2005
Descrizione fisica 1 online resource (xxxi, 524 p.) : ill
Disciplina 006.3
Altri autori (Persone) FrankEibe
Collana Morgan Kaufmann series in data management systems
Soggetto topico Data mining
Database searching
ISBN 9786611008062
0-08-047702-X
9781423722442
1-281-00806-0
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; 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; About the Authors.
Record Nr. UNINA-9910783456403321
Witten I. H (Ian H.)  
Amsterdam ; ; Boston, MA, : Morgan Kaufman, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank
Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank
Autore Witten I. H (Ian H.)
Edizione [2nd ed.]
Pubbl/distr/stampa Amsterdam ; ; Boston, MA, : Morgan Kaufman, 2005
Descrizione fisica 1 online resource (xxxi, 524 p.) : ill
Disciplina 006.3
Altri autori (Persone) FrankEibe
Collana Morgan Kaufmann series in data management systems
Soggetto topico Data mining
Database searching
ISBN 9786611008062
0-08-047702-X
9781423722442
1-281-00806-0
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; 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; About the Authors.
Record Nr. UNINA-9910826885403321
Witten I. H (Ian H.)  
Amsterdam ; ; Boston, MA, : Morgan Kaufman, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining : practical machine learning tools and techniques with java implementations / Ian H. Witten, Eibe Frank
Data mining : practical machine learning tools and techniques with java implementations / Ian H. Witten, Eibe Frank
Autore Witten, Ian H.
Pubbl/distr/stampa San Francisco [Ca.] : Morgan Kaufmann, ©2000
Descrizione fisica xxv, 369 p. ; 24 cm
Disciplina 005.74
Altri autori (Persone) Frank, Eibe
Collana The Morgan Kaufmann series in data management systems
Soggetto non controllato Basi di dati
Java
ISBN 1-55860-552-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001448840403321
Witten, Ian H.  
San Francisco [Ca.] : Morgan Kaufmann, ©2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining : practical machine learning tools and techniques with Java implementations / Ian H. Witten, Eibe Frank
Data mining : practical machine learning tools and techniques with Java implementations / Ian H. Witten, Eibe Frank
Autore Witten, Ian H.
Pubbl/distr/stampa San Francisco : Morgan Kaufmann, c2000
Descrizione fisica XXVI, 369 p. ; 24 cm
Disciplina 0061.3
Altri autori (Persone) Frank, Eibe
Collana The Morgan Kaufmann series in data management systems
Soggetto non controllato Intelligenza artificiale
ISBN 1-55860-552-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNIPARTHENOPE-000032306
Witten, Ian H.  
San Francisco : Morgan Kaufmann, c2000
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui
How to build a digital library [[electronic resource] /] / Ian H. Witten, David Bainbridge, and David M. Nichols
How to build a digital library [[electronic resource] /] / Ian H. Witten, David Bainbridge, and David M. Nichols
Autore Witten I. H (Ian H.)
Edizione [2nd ed.]
Pubbl/distr/stampa Burlington, MA, : Morgan Kaufmann Publishers, 2009
Descrizione fisica 1 online resource (655 p.)
Disciplina 025.00285
Altri autori (Persone) BainbridgeDavid <1969->
NicholsDavid M
Collana The Morgan Kaufmann series in multimedia information and systems
Soggetto topico Digital libraries
Digital libraries - Collection development - Computer programs
ISBN 1-282-32909-X
9786612329098
0-08-089039-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front cover; Half title page; How to Build a Digital Library; Copyright page; Table of Contents; Preface; The Greenstone Software; Updated and Revised Content; How the Book Is Organized; What the Book Covers; About the Web Site; Acknowledgments; Part I Principles and Practices; Chapter 1 Orientation; Example One: Supporting Human Development; Example Two: Pushing on the Frontiers of Science; Example Three: Preserving a Traditional Culture; Example Four: Exploring Popular Music; The scope of digital libraries; 1.1 Libraries and Digital Libraries; 1.2 The Changing Face of Libraries
In the beginningThe information explosion; The Alexandrian principle; Early technodreams; The library catalog; The changing nature of books; 1.3 Searching for Sophocles; 1.4 Digital Libraries in Developing Countries; Disseminating humanitarian information; Disaster relief; Preserving indigenous culture; Locally produced information; The technological infrastructure; 1.5 The Pen Is Mighty: Wield It Wisely; Copyright law; The public domain; Relinquishing copyright; Digital rights management; Copyright and digitization; Collecting from the Web; Illegal and harmful material; Cultural sensitivity
1.6 Planning a Digital Library1.7 Implementing a Digital Library: The Greenstone Software; 1.8 Notes and Sources; Chapter 2 People in digital libraries; 2.1 Roles; Global users; Roles of librarians; Change; 2.2 Identity; Anonymous use; Authenticated use; Recording usage data; 2.3 Help and User Support Services; 2.4 Working with Digital Collections; Using information from digital libraries; Referring to objects in a digital library; Berry-picking; 2.5 User Contributions; Annotations; Keywords; Ratings; Corrections; New documents; Partial and fluid documents; 2.6 Notes and Sources
Chapter 3 PresentationFrom People to Presentation; 3.1 Presenting Textual Documents; Documents, chapters, sections; Unstructured text documents; Page images; Images with text; Realistic books; 3.2 Presenting Multimedia Documents; Sound and pictures; Video; Music; 3.3 Document Surrogates; Metadata; Multimedia surrogates; 3.4 Searching; Types of queries; Case-folding and stemming; Phrase searching; Query interfaces; Searching multimedia; Searching music; Searching images; 3.5 Metadata Browsing; Lists; Dates; Hierarchies; Facets; 3.6 Putting It All Together; An institutional repository
3.7 Notes and SourcesChapter 4 Textual documents; 4.1 Representing Textual Documents; ASCII; Unicode; Plain text; Indexing; Word segmentation; 4.2 Textual Images; Scanning; Optical character recognition; Acquisition, cleanup, and page analysis; Recognition; Checking and saving; Page handling; Planning an image digitization project; Inside an OCR shop; An example project; 4.3 Web Documents: HTML and XML; Markup and stylesheet languages; Basic HTML; Using HTML in a digital library; Basic XML; Parsing XML; Using XML in a digital library; 4.4 Presenting Web Documents: CSS and XSL; CSS
Cascading style sheets
Record Nr. UNINA-9910778590003321
Witten I. H (Ian H.)  
Burlington, MA, : Morgan Kaufmann Publishers, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui