9780309287784: Frontiers in Massive Data Analysis

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data.

Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

I migliori risultati di ricerca su AbeBooks

1.

Committee on the Analysis of Massive Data, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications
Editore: National Academies Press, United States (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 1
Da
The Book Depository
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro National Academies Press, United States, 2013. Paperback. Condizione libro: New. Language: English . Brand New Book. Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore.Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data. Codice libro della libreria AAJ9780309287784

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 31,56
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: Italia
Destinazione, tempi e costi

2.

Committee on the Analysis of Massive Data, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, National Research Council
Editore: National Academies Press
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 1
Da
THE SAINT BOOKSTORE
(Southport, Regno Unito)
Valutazione libreria
[?]

Descrizione libro National Academies Press. Paperback. Condizione libro: new. BRAND NEW, Frontiers in Massive Data Analysis, Committee on the Analysis of Massive Data, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, National Research Council, Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data. Codice libro della libreria B9780309287784

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 29,85
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 6,63
Da: Regno Unito a: Italia
Destinazione, tempi e costi

3.

Committee on the Analysis of Massive Data, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Their Applications
Editore: National Academies Press, United States (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 1
Da
The Book Depository US
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro National Academies Press, United States, 2013. Paperback. Condizione libro: New. Language: English . Brand New Book. Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore.Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data. Codice libro della libreria AAJ9780309287784

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 36,52
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: Italia
Destinazione, tempi e costi

4.

National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics; Committee on the Analysis of Massive Data
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Quantità: > 20
Da
BWB
(Valley Stream, NY, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97803092877840000000

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 36,53
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: U.S.A. a: Italia
Destinazione, tempi e costi

5.

Committee on the Analysis of Massive Data
Editore: National Academies Press (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Quantità: 2
Da
Books2Anywhere
(Fairford, GLOS, Regno Unito)
Valutazione libreria
[?]

Descrizione libro National Academies Press, 2013. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria CA-9780309287784

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 27,82
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 11,15
Da: Regno Unito a: Italia
Destinazione, tempi e costi

6.

Not Available
Editore: Natl Academy Pr (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 1
Da
Revaluation Books
(Exeter, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Natl Academy Pr, 2013. Paperback. Condizione libro: Brand New. 176 pages. 9.00x6.00x0.50 inches. In Stock. Codice libro della libreria __0309287782

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 39,16
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 16,72
Da: Regno Unito a: Italia
Destinazione, tempi e costi

7.

National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics; Committee on the Analysis of Massive Data
Editore: National Academies Press (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 1
Da
Irish Booksellers
(Rumford, ME, U.S.A.)
Valutazione libreria
[?]

Descrizione libro National Academies Press, 2013. Paperback. Condizione libro: New. book. Codice libro della libreria 0309287782

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 50,05
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 10,29
Da: U.S.A. a: Italia
Destinazione, tempi e costi

8.

National Research Council, Division on E
Editore: National Academies Press (2013)
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi Paperback Quantità: 2
Da
Murray Media
(North Miami Beach, FL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro National Academies Press, 2013. Paperback. Condizione libro: New. Codice libro della libreria P110309287782

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 59,73
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 17,14
Da: U.S.A. a: Italia
Destinazione, tempi e costi

9.

Council, National Research; Engineering, Division on; Sciences, Physical; Sciences, Board on Mathematical; Applications, Their; Applied, Committee on; Statistics, Theoretical; Data, Committee on the Analysis of Massive
Editore: National Academies Press
ISBN 10: 0309287782 ISBN 13: 9780309287784
Nuovi PAPERBACK Quantità: 1
Da
Cloud 9 Books
(Wellington, FL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro National Academies Press. PAPERBACK. Condizione libro: New. 0309287782 New Condition. Codice libro della libreria NEW6.3047931

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 65,74
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 34,29
Da: U.S.A. a: Italia
Destinazione, tempi e costi