Order Total (1 Item Items):
Shipping Destination:
Stream Data Mining Algorithms by Rutkowski Leszek (17 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (17)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (15)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (17)
- Softcover (No further results match this refinement)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (4)
- Not Print on Demand (11)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Stream Data Mining: Algorithms and Their Probabilistic Properties (Studies in Big Data, 56)
Book 50 of 95: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 148.08
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
-
Stream Data Mining : Algorithms and Their Probabilistic Properties
Book 50 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 148.07
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Condition: As New. Unread book in perfect condition.
-
Stream Data Mining : Algorithms and Their Probabilistic Properties
Book 50 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 165.96
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
-
Stream Data Mining Algorithms And Thei
Book 50 of 95: Studies in Big DataSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
-
Stream Data Mining: Algorithms and Their Probabilistic Properties
Book 50 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.
-
Hardcover. Condition: Brand New. 330 pages. 9.50x6.50x0.75 inches. In Stock.
-
Hardcover. Condition: New. New. book.
-
-
Condition: new. Questo è un articolo print on demand.
-
Stream Data Mining: Algorithms And Their Probabilistic Properties
Book 50 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unique and innovative approach to stream data miningUnlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justifiedIs intended for a pr.
-
Stream Data Mining: Algorithms and Their Probabilistic Properties
Book 50 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing Mrz 2019, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks. 340 pp. Englisch.
-
Stream Data Mining: Algorithms and Their Probabilistic Properties
Book 50 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland Mär 2019, 2019
ISBN 10: 3030139611 ISBN 13: 9783030139612
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a unique approach to stream data mining. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. First, it describes how to adapt static decision trees to accommodate data streams; in this regard, new splitting criteria are developed to guarantee that they are asymptotically equivalent to the classical batch tree. Moreover, new decision trees are designed, leading to the original concept of hybrid trees. In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. Lastly, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
-
Condition: New. Print on Demand.
-
Condition: New. PRINT ON DEMAND.
