9780470713938 - clustering methodology for symbolic data di billard, lynne; diday, edwin (22 risultati)
- Rilegato
Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 70,64
EUR 2,29 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New.
- Rilegato
Da: INDOO, Avenel, U.S.A.INDOO
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 73,01
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
- Rilegato
Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 78,72
EUR 2,29 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
- Rilegato
Da: Brook Bookstore On Demand, Napoli, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 3 stelleCondizione: Nuovo
EUR 74,29
EUR 6,80 spedizioneSpedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Condizione: new.
- Rilegato
Da: PBShop.store UK, Fairford, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 81,69
EUR 5,81 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Rilegato
- Prima edizione
Da: Grand Eagle Retail, Bensenville, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 95,08
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Covers everything readers need to know about clustering methodology for symbolic dataincluding new methods and headingswhile providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology… for symbolic datapaying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data scienceDemonstrates how to manage a large complex dataset into manageable datasets ready for analysisFeatures very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued dataConsiders classification models by dynamical clusteringFeatures a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering. Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 80,25
EUR 17,38 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 81,57
EUR 17,38 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
- Rilegato
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 95,59
EUR 7,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New. pp. 288.
- Rilegato
Da: Chiron Media, Wallingford, Regno UnitoChiron Media
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,67
EUR 17,94 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardcover. Condizione: New.
- Rilegato
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 85,57
EUR 20,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
- Rilegato
Da: Kennys Bookshop and Art Galleries Ltd., Galway, IrlandaKennys Bookshop and Art Galleries Ltd.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 94,73
EUR 10,50 spedizioneSpedito da Irlanda a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from su…ch a data. Series: Wiley Series in Computational Statistics. Num Pages: 288 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 229 x 152. . . 2019. Hardcover. . . . .
- Rilegato
Da: Ubiquity Trade, Miami, U.S.A.Ubiquity Trade
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 107,51
EUR 2,60 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Brand new! Please provide a physical shipping address.
- Rilegato
Da: Books Puddle, New York, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 110,19
EUR 3,46 spedizioneSpedito in U.S.A.Quantità: 3 disponibili
Condizione: New. pp. 288.
- Rilegato
Da: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 118,59
EUR 9,10 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from su…ch a data. Series: Wiley Series in Computational Statistics. Num Pages: 288 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 229 x 152. . . 2019. Hardcover. . . . . Books ship from the US and Ireland.
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 123,17
EUR 14,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 340 pages. 9.25x6.25x0.75 inches. In Stock.
- Rilegato
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 93,36
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. LYNNE BILLARD, PHD, is University Professor in the Department of Statistics at the University of Georgia, USA. She has over two hundred and twenty-five publications mostly in leading journals, and co-edited six books. Professor Billard is a former president.
- Rilegato
- Prima edizione
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 105,57
EUR 42,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Covers everything readers need to know about clustering methodology for symbolic dataincluding new methods and headingswhile providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology… for symbolic datapaying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data scienceDemonstrates how to manage a large complex dataset into manageable datasets ready for analysisFeatures very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued dataConsiders classification models by dynamical clusteringFeatures a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering. Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Rilegato
- Prima edizione
Da: AussieBookSeller, Truganina, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 152,50
EUR 32,08 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Covers everything readers need to know about clustering methodology for symbolic dataincluding new methods and headingswhile providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology… for symbolic datapaying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogram valued data reaching across many fields in data scienceDemonstrates how to manage a large complex dataset into manageable datasets ready for analysisFeatures very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued dataConsiders classification models by dynamical clusteringFeatures a supporting website hosting relevant data sets Clustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering. Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 127,51
EUR 63,06 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware - Covers everything readers need to know about clustering methodology for symbolic data--including new methods and headings--while providing a focus on multi-valued list data, interval data and histogram dataThis book presents all of the latest developments in the field of clustering methodology fo…r symbolic data--paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses.Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering.\* Provides new classification methodologies for histogram valued data reaching across many fields in data science\* Demonstrates how to manage a large complex dataset into manageable datasets ready for analysis\* Features very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued data\* Considers classification models by dynamical clustering\* Features a supporting website hosting relevant data setsClustering Methodology for Symbolic Data will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.
- Rilegato
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 101,85
EUR 14,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 340 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
- Rilegato
- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 115,65
EUR 18,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
