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mining sequential patterns large (35 risultati)
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Mining Sequential Patterns From Large Data Sets (Advances In Database Systems , Volume 28)
Libro 13 di 42: Advances in Database SystemsDa: Basi6 International, Irving, TX, U.S.A.
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Mining Sequential Patterns From Large Data Sets (Advances In Database Systems , Volume 28)
Libro 13 di 42: Advances in Database SystemsDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Books Puddle, New York, NY, U.S.A.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Majestic Books, Hounslow, Regno Unito
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Mining Sequential Patterns from Large Data Sets (Advances in Database Systems, 28)
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Biblios, Frankfurt am main, HESSE, Germania
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Mining Sequential Patterns From Large Data Sets (Hb)
Libro 13 di 42: Advances in Database SystemsDa: Basi6 International, Irving, TX, U.S.A.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Mining Sequential Patterns from Large Data Sets (Advances in Database Systems, 28)
Libro 13 di 42: Advances in Database SystemsEUR 71,47
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Mining Sequential Patterns From Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Mining Sequential Patterns From Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Edizione InternazionaleMINING SEQUENTIAL PATTERNS FROM LARGE DATA SETS (HB)
Libro 13 di 42: Advances in Database SystemsDa: UK BOOKS STORE, London, LONDO, Regno Unito
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Mining Sequential Patterns from Large Data Sets (Advances in Database Systems, 28)
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Mining Sequential Patterns from Large Data Sets (Advances in Database Systems, 28)
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Mining Sequential Patterns From Large Data Sets
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Mining Sequential Patterns from Large Data Sets (Advances in Database Systems, 28)
Libro 13 di 42: Advances in Database SystemsDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Mining Sequential Patterns From Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 180.
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Mining Sequential Patterns From Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 126,72
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Mining Sequential Patterns From Large Data Sets Advances In Database Systems , Volume 28
Lingua: Inglese
Editore: Springer, 2005
Da: Books in my Basket, New Delhi, India
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Aggiungi al carrelloHardcover. Condizione: New. ISBN:9780387242460.
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Mining Sequential Patterns From Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Mining Sequential Patterns from Large Data Sets | Jiong Yang (u. a.) | Taschenbuch | xv | Englisch | 2010 | Springer US | EAN 9781441937070 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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EUR 111,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.
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EUR 124,02
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Aggiungi al carrelloCondizione: New. Contains unique multiple models for various sequential patterns and detailed algorithms on how to mine these patterns. Bio-informaticians not yet familiar with data mining models and algorithms will appreciate the various descriptions of models and algor.
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Mining Sequential Patterns from Large Data Sets
Lingua: Inglese
Editore: Springer, 2005
Da: Books in my Basket, New Delhi, India
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EUR 175,08
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Edizione Internazionale
MINING SEQUENTIAL PATTERNS FROM LARGE DATA SETS (ADVANCES IN DATABASE SYSTEMS , VOLUME 28)
Libro 13 di 42: Advances in Database SystemsDa: UK BOOKS STORE, London, LONDO, Regno Unito
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EUR 192,52
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Aggiungi al carrelloHardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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EUR 151,56
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.
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Mining Sequential Patterns from Large Data Sets
Libro 13 di 42: Advances in Database SystemsDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful. 180 pp. Englisch.
