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Information-Statistical Data Mining / Warehouse Integration with Examples of Oracle Basics, Sy Bon K., Gupta A.K.
Information-Statistical Data Mining / Warehouse Integration with Examples of Oracle Basics

Автор: Sy Bon K., Gupta A.K.
Название:  Information-Statistical Data Mining / Warehouse Integration with Examples of Oracle Basics
Издательство: Springer
Классификация:
Вероятность и статистика
Материаловедение
Структуры данных
Базы данных

ISBN: 1402076509
ISBN-13(EAN): 9781402076503
ISBN: 1-402-07650-9
ISBN-13(EAN): 978-1-402-07650-3
Обложка/Формат: Hardback
Страницы: 312
Вес: 1.37 кг.
Дата издания: 2004
Серия: The Springer International Series in Engineering and Computer Science
Язык: ENG
Иллюстрации: Biography
Размер: 24.84 x 16.21 x 2.39 cm
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Warehouse integration with examples of oracle basics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: As computer technology becomes more powerful, it becomes possible to collect data at a level, by size and the level of extent that could not even be imagined just a few years ago. At the same time, it also offers a growing possibility of discovering intelligence from data through statistical techniques cornered as Exploratory Data Analysis (EDA). While EDA evolves to play a major role in the field of data mining, treatment for temporal spatial data remains a challenge. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics will address this issue. This book will also attempt to address this issue through a framework that may allow us to answer at least partially, the following two important questions. First, how do we gain insights into understanding the intelligence behind the valuable information that data mining offers? More specifically, how do we interpret and evaluate the quality of information resulting from an EDA that is typically oriented around statistical techniques. Overall, Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
Описание: Written to introduce basic concepts, advanced research techniques, and solutions of data warehousing and data mining for hosting large data sets and EDA, this book attempts to bridge statistics and information theory through a concept of patterns. It is aimed at a professional audience composed of researchers and practitioners in industry.
Дополнительное описание: Круг читателей: Researchers, practitioners in industry, graduate-level students in computer science and engineering
Язык: eng



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Statistical and Machine-Learning Data Mining

Автор: Ratner Bruce
Название: Statistical and Machine-Learning Data Mining
ISBN: 1439860912 ISBN-13(EAN): 9781439860915
Издательство: Taylor&Francis
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Цена: 5516 р.
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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition

Автор: Kimball
Название: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition
ISBN: 1118530802 ISBN-13(EAN): 9781118530801
Издательство: Wiley
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Цена: 4675 р.
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Описание: Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing! The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the foundation on which the data warehousing industry has been built - and now, these books are considered the most authoritative guides on dimensional modeling. This new third edition is a complete library of dimensional modeling techniques, the most comprehensive collection ever. Revised and updated, it covers design techniques that support big data analytics, adds a new chapter on ETL techniques, provides new and enhanced modeling patterns, and much more. Authored by Ralph Kimball, known worldwide as an innovator, consultant, and influential thought leader in the field of data warehousing Begins with fundamental design recommendations and progresses step by step through increasingly complex scenarios Presents unique modeling techniques for e-commerce and common business applications such as inventory management, procurement, invoicing, accounting, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, health care, and insurance Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, 3rd Edition.

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Advanced Data Warehouse Design

Автор: Malinowski
Название: Advanced Data Warehouse Design
ISBN: 3540744045 ISBN-13(EAN): 9783540744047
Издательство: Springer
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Цена: 8662 р.
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Описание: A data warehouse stores large volumes of historical data required for analytical purposes. This work explains in detail conventional data warehouse design, covering in particular complex hierarchy modeling. It covers different phases of the design process, such as requirements specification, conceptual, logical and physical design.

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Data warehouse design: modern principles and methodologies

Автор: Golfarelli, Mattaeo Rizzi, Stefano
Название: Data warehouse design: modern principles and methodologies
ISBN: 0071610391 ISBN-13(EAN): 9780071610391
Издательство: McGraw-Hill
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Цена: 3085 р.
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The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

Автор: Mundy Joy, Thornthwaite Warren, Kimball Ralph
Название: The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset
ISBN: 0470640383 ISBN-13(EAN): 9780470640388
Издательство: Wiley
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Цена: 3974 р.
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Описание: Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming Business Intelligence release of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance. Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book The accompanying Web site contains all code samples as well as the sample database used throughout the case studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.

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Building a data warehouse

Автор: Rainardi, Vincent
Название: Building a data warehouse
ISBN: 1590599314 ISBN-13(EAN): 9781590599310
Издательство: Springer
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Цена: 4975 р.
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Web Data Management / A Warehouse Approach

Автор: Bhowmick Sourav S., Madria Sanjay K., Ng Wee K.
Название: Web Data Management / A Warehouse Approach
ISBN: 0387001751 ISBN-13(EAN): 9780387001753
Издательство: Springer
Цена: 6018 р.
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Описание: Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information. There is a need to develop efficient tools for analyzing and managing Web data, and efficiently managing Web information from the database perspective. The book proposes a data model called WHOM (Warehouse Object Model) to represent HTML and XML documents in the warehouse. It defines a set of web algebraic operators for building new web tables by extracting relevant data from the Web, as well as generating new tables from existing ones. These algebraic operators are used for change detection.

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Data Mining and Multi-agent Integration

Автор: Cao
Название: Data Mining and Multi-agent Integration
ISBN: 1441905219 ISBN-13(EAN): 9781441905215
Издательство: Springer
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Цена: 13612 р.
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Описание: This book details the state-of-the-art research and development regarding the synergism of multiagents and data mining. Specifically, it presents the methodologies, algorithms and systems that integrate these two cutting-edge technologies.

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Intelligence and Security Informatics for International Security / Information Sharing and Data Mining

Автор: Chen Hsinchun
Название: Intelligence and Security Informatics for International Security / Information Sharing and Data Mining
ISBN: 0387243798 ISBN-13(EAN): 9780387243795
Издательство: Springer
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Цена: 16499 р.
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Описание: On September 11, 2001 the World became completely cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help meet the world meet an array of security challenges. From these activities the science of "Intelligence and Security Informatics," is emerging, which will influence a new generation of policy makers, practitioners, researchers, and students. INTELLIGENCE AND SECURITY INFORMATICS FOR INTERNATIONAL SECURITY: Information Sharing and Data Mining presents a systematic national security research framework, and within this context, the book discusses IT technical components, and directions. The book synthesizes the research in the field, focusing on information integration and data mining in particular. Integrated in the discussion are a number of real-world case studies illustrating how security technologies are developed and how they can be applied in critical law enforcement, emergency response, intelligence analysis, and terrorism contexts.The book reflects a decade of leading-edge research on intelligence and security informatics from the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research. Working in parallel with the research has been its application in real-world community situations by the center’s director and the book’s author, Dr. Hsinchun Chen.The book’s audience is wide and includes the following: (1) college professors, research scientists, graduate students, and select undergraduate juniors and seniors in computer science, information management, information science, and other related public safety, intelligence analysis, and terrorism research disciplines; (2) researchers, analysts, and policy makers in federal departments, national laboratories, intelligence community, public safety and law enforcement agencies, and the emergency response community; and (3) consultants and practitioners in IT hardware, communication, and software companies, consulting firms, and defence contractors of varying sizes and countries.

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Mastering data warehouse aggregates

Автор: Adamson, Christopher
Название: Mastering data warehouse aggregates
ISBN: 0471777099 ISBN-13(EAN): 9780471777090
Издательство: Wiley
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Цена: 4909 р.
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Описание: Addresses how aggregates are the single-most effective tool the data warehouse designers have to control performance.

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Building and Maintaining a Data Warehouse

Автор: Silvers
Название: Building and Maintaining a Data Warehouse
ISBN: 1420064622 ISBN-13(EAN): 9781420064629
Издательство: Taylor&Francis
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Цена: 6357 р.
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Описание: Based on a foundation of industry-accepted principles, Building and Maintaininga Data Warehouse provides an easy-to-follow approach that is cohesive and holistic. By offering the perspective of a successful data warehouse, as well as that of a failed one, the author details those factors that must be accomplished and those that are best avoided. He looks at areas of a data warehouse individually and in sequence, showing how each piece becomes a working part of the whole. He examines the concepts and principles common to every successful data warehouse, and also explains how to recognize and attend to problematic gaps in an established data warehouse

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Decision Support And Data Warehouse Systems

Автор: Mallach
Название: Decision Support And Data Warehouse Systems
ISBN: 0071163565 ISBN-13(EAN): 9780071163569
Издательство: McGraw-Hill
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Цена: 3926 р.
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Описание: Ties the traditional view of decision support to the topics of database management and data warehouse. This book provides a foundation for the use of models within the context of building and using decision support systems, and focuses on multi-dimensional databases and client/server computing.

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