Data warehouse mining technology (9 risultati)
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Da: liu xing, Nanjing, JS, Cinaliu xing
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EUR 60,93
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paperback. Condizione: New. Paperback. Pub Date: 2002 Pages: 404 Language: Chinese in Publisher: Electronic Industry Press introduces the basic concepts of data warehousing and data mining technology. the basic principles. development methodologies. development tools. applications. and management methods. The book is divided int…o 13 chapters. including the principles of data warehousing. data warehouse architecture. data warehouse development tools. data warehouse planning analysis methods. methods of development and im.
Lingua: Tedesco
Editore: Pearson Studium Auflage: 3., überarb. A. (2002), 2002
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condizione: gut. Auflage: 3., überarb. A. (2002). Das relationale Modell, seine Sprachen und Systeme Objektorientierte und erweiterte relationale Datenbanksysteme Methoden und Techniken des Datenbankentwurfs Implementierung von Datenbanksystemen Innovative Datenbankkonzepte und -anwendungen Grundlagen von Datenbanksys…temen Ramez A. Elmasri Shamkant B. Navathe Das Buch zählt zu den umfangreichsten und renommiertesten Lehrbüchern zum Thema Datenbanken. Es behandelt die für jeden Studenten wichtigen Grundlagen des konzeptionellen und logischen Entwurfs und der Implementierung von Datenbanken und stellt die neuesten Datenbankmanagementsysteme wie objektorientierte und objektrelationale DBMS vor. Der Schwerpunkt der Autoren liegt auf dem relationalen Modell, Beachtung finden aber auch jüngste objektorientierte Entwicklungen wie ODMG und SQL3. Beispiele aus realen Datenbanksystemen wie OracleT und Microsoft Access sorgen für Praxisnähe. Alle Themenbereiche werden gründlich vertieft und so umfassend dargestellt, dass das Buch zur Unterrichtsbegleitung ebenso geeignet ist wie zum späteren Nachschlagen und zum Selbststudium. Über die AutorenRamez Elmasri ist Professor für Informatik an der University of Texas in Arlington. Shamkant B. Navathe ist Professor am College of Computing des Georgia Institute of Technology in Atlanta. Das Buch zählt zu den umfangreichsten und renommiertesten Lehrbüchern zum Thema Datenbanken. Es behandelt die für jeden Studenten wichtigen Grundlagen des konzeptionellen und logischen Entwurfs und der Implementierung von Datenbanken und stellt die neuesten Datenbankmanagementsysteme wie objektorientierte und objektrelationale DBMS vor. Der Schwerpunkt der Autoren liegt auf dem relationalen Modell, Beachtung finden aber auch jüngste objektorientierte Entwicklungen wie ODMG und SQL3. Beispiele aus realen Datenbanksystemen wie OracleT und Microsoft Access sorgen für Praxisnähe. Alle Themenbereiche werden gründlich vertieft und so umfassend dargestellt, dass das Buch zur Unterrichtsbegleitung ebenso geeignet ist wie zum späteren Nachschlagen und zum Selbststudium. Über die AutorenRamez Elmasri ist Professor für Informatik an der University of Texas in Arlington. Shamkant B. Navathe ist Professor am College of Computing des Georgia Institute of Technology in Atlanta. Inhaltsverzeichnis von "Grundlagen von DatenbanksystemenGrundkonzepte Das relationale Modell, seine Sprachen und Systeme Objektorientierte und erweiterte relationale Datenbanksysteme Methoden und Techniken des Datenbankentwurfs Implementierung von Datenbanksystemen Innovative Datenbankkonzepte und -anwendungen Grundlagen von Datenbanksystemen (Gebundene Ausgabe) von Prof. Ramez A. Elmasri Professor für Informatik University of Texas Arlington, Prof. Shamkant B. Navathe Professor College of Computing Georgia Institute of Technology Atlanta Das relationale Modell Sprachen Systeme Objektorientierte Datenbanksysteme relationale Datenbanksysteme Methoden Techniken des Datenbankentwurfs Implementierung von Datenbanksystemen Innovative Datenbankkonzepte Datenbankanwendungen Datenbanksysteme Grundlagen des konzeptionellen und logischen Entwurfs Implementierung von Datenbanken Datenbankmanagementsysteme objektorientierte DBMS objektrelationale DBMS relationales Modell objektorientierte Entwicklungen ODMG SQL3 Datenbanksystemen wie OracleT Microsoft Access Grundkonzepte Das relationale Modell Sprachen und Systeme Objektorientierte und erweiterte relationale Datenbanksysteme Methoden und Techniken des Datenbankentwurfs Implementierung von Datenbanksystemen Innovative Datenbankkonzepte und -anwendungen Datenbankkonzepte Datenbankanwendungen Datenbanksysteme Implementierung von Datenbanken Datenbankmanagementsysteme objektorientierte DBMS objektrelationale DBMS relationales Modell objektorientierte Entwicklungen ODMG SQL3 Datenbanksystemen wie OracleT Microsoft Access Grundkonzepte Reihe/Serie Pearson Studium - IT Sprache deutsch Mathematik Informatik Informatiker Datenbanken Data-Mining Data-Warehouse Datenbank Einführung EER Lehrbuch SQL ISBN-10 3-8273-7136-8 3827371368 ISBN-13 978-3-8273-7136-2 9783827371362 In deutscher Sprache. 1103 pages. 24 x 18,2 x 6,4 cm.
Editore: Electronics Industry, 2000
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,09
EUR 15,83 spedizioneSpedito da Cina a U.S.A.Quantità: 1 disponibili
paperback. Condizione: New. Paperback. Pub Date: November 2007 Pages: 367 Publisher: Electronic Industry Press book introduces the basic concepts of business intelligence data warehousing. data mining. and on-line analysis as the core technology. the basic principles of development methods. development tools. applications and ma…nagement methods. The book is divided into 10 chapters. including the basic concepts of business intelligence. development and application of the process of the development model of the data ware.
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,29
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paperback. Condizione: New. Pages Number: 213 Publisher: Tsinghua University. Pub. Date :2011-6-1. Data warehouse and data mining. and other computer professionals and computer technology close professional compulsory core curriculum. Data warehouse and data mining technology. a systematic introduction to data warehousing and da…ta mining of the basic concepts. knowledge and basic methods. each data mining methods are detailed descriptions and examples of specific implementation steps. Data warehouse and data mining tech.
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,20
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paperback. Condizione: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: December 2012 Pages: 274 Language: Chinese in Publisher: Tsinghua University Press institutions of higher learning of information management and information systems professional… textbook series: data warehouse and data mining technology describes the data warehouse and data mining technology basic concepts. technology and application case. The universities information management and information systems professional textbook series: data warehouse and data mining technology is divided into nine chapters. including: concepts and architecture of data warehouse and data mining. data warehouse development model. etl. olap technology . business intelligence systems. data preprocessing technology. data mining. data warehouse development instance. report design and content. The universities information management and information systems professional textbook series: data warehouse and data mining technology. the case of the chapters are microsoftsqlserver2005 operating practice to explain. Through the study and practice of specific instances. so that readers master necessary knowledge points in the data warehouse and data mining. and so on so forth. The universities information management and information systems professional textbook series: data warehouse and data mining technology for undergraduate students of institutions of higher learning materials are also available enterprise information management staff. technicians and software developers to read reference. Contents: Chapter 1. data warehouse and data mining research and development status of the development of 1.1.3 data warehouse 1.1.4 1.1.2 Overview 1.1 data warehouse generation and development 1.1.1 data warehouse generation data warehouse data warehouse 1.2 Definition and basic properties of the data warehouse of the basic concepts of data warehousing 1.2.1 1.2.2 data warehouse and database difference 1.2.3 organizational structure of the data warehouse data data warehouse architecture 1.3 1.3.1 virtual data warehouse architecture 1.3. 2 separate data warehouse architecture 1.3.3 separate data mart architecture distributed data storage layer related to the concept of the data warehouse data warehouse structure 1.4 1.4.1 data source 1.4.2 1.3.4 1.4.3 olap server 1.4. data mining capabilities of object 1.5.4 Background 1.5.2 front-end tools 1.5 data mining techniques Overview 1.5.1 data mining techniques to generate the basic concepts of data mining 1.5.3 Data Mining 1.5.5 Data Mining and traditional analysis method. the difference between 1.5 1.6 .6 data warehouse and data mining relations 1.5.7 Data Mining trends data mining process the 1.6.1 fayyad process model 1.6.2 1.6.3 Other data mining process model of crisp-dm process model 1.7 commonly used data mining technology 1.8 Summary 1.9 Exercises Chapter 2. data warehouse development model 2.1 data warehouse development model Overview 2.2 2.2.1 enterprise model of the conceptual model of data warehouse 2.2.2 specification data model 2.2.3 common conceptual model 2.3 data warehouse logical model 2.3 data warehouse physical model of the design points 2.4.2 data warehouse physical model storage structure 2.4.3 2.4.1 .1 fact table model design 2.3.2 dimension table model design 2.4 data warehouse physical model physical model index build 2.4.4 2.5 data warehouse metadata model of the physical model of the optimization problem of the data warehouse 2.5.1 metadata type 2.5.2 role of metadata 2.5.3 metadata collection and maintenance of the use of the metadata 2.5.4 2.5.5 metadata management 3.1 etl concept 3.1.1 Data 2.6 data warehouse model granularity and aggregation model 2.6.1 data warehouse the granularity model 2.6.2 data model and data warehouse aggregation split 2.7 Summary 2.8 Exercises Chapter 3 etl technical understanding 3.1.2 Data extraction 3.1 3.2.1 etl systems face challenges .3 data cle.
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,93
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paperback. Condizione: New. Paperback. Pub Date: 2009 02 Pages: 295 Language: Chinese Publisher: Science Press data warehouse and data mining technology (2nd edition) elaborated the basic principles of data warehouse and data mining systems and comprehensive introduction concept. the role of the data warehouse and data mining al…gorithms and application example. and gives information analysis involves a number of issues and framework. Data warehouse and data mining technology (2) introduced the latest analysis of informa.
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 70,44
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paperback. Condizione: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2013-10-01 Pages: 222 Language: Chinese Publisher: China Machine Press . computer science graduate student textbook and technology disciplines : data warehouse and data mining .… Chapter 1 introduces the data warehouse . data mining . and general knowledge application areas . Chapter 2 to 8 data warehouse and data mining theory and technology . which focuses on data warehouse Chapter 2.3 . focusing on the structure of the data warehouse . OLAP . etc. 4 to 8 focus on data .Four Satisfaction guaranteed,or money back.
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 75,42
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paperback. Condizione: New. Paperback. Pub Date: 2018-12-01 Pages: 258 Language: Chinese Publisher: Central South University Press' data warehouse and data mining of large data Higher Education Science and Technology Thirteen Five planning textbook focuses on data warehousing and data mining the basic principle of the technology… and application methods. The book is divided into 13 chapters. the main contents include data warehouse .
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 87,71
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paperback. Condizione: New. Language:Chinese.Paperback.Pub Date:2021-01-01 Pages:336 Publisher: Tsinghua University Press Features of this book: 1.?From the database to the data warehouse. from the data dictionary to the metadata to illustrate the rise of the data warehouse.?2.?From online transaction processing (OLTP) to online… analytical processing (OLAP) illustrates the rise of multidimensional data.?3.?Examples are used to illustrate the application of multi-dimensional data analysis and the new technology of data c.
