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| Author | : Seidman |
| Publisher | : |
| Total Pages | : 384 |
| Release | : |
| Genre | : |
| ISBN | : 9788120319127 |
| Author | : Claude Seidman |
| Publisher | : |
| Total Pages | : 367 |
| Release | : 2001 |
| Genre | : Data mining |
| ISBN | : 9780735650916 |
| Author | : Claude Seidman |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2001 |
| Genre | : Data mining |
| ISBN | : 9780735612716 |
The amount of information stored in corporate databases is exploding exponentially. Data mining--finding meaningful patterns in all that data--can give any organization a competitive advantage. This book is the in-depth reference from Microsoft for anyone who wants to take full advantage of the powerful data-mining features in SQL Server 2000. It examines the SQL Server 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to structure and mine large databases with the algorithms included with SQL Server 2000 to find nuggets of useful information. It even shows how to create a practice data-mining model using data downloaded from a database. Coverage includes: INTRODUCTION TO DATA MINING: What data mining is and isn't, plus important principles and definitions behind data-mining methodologies, including the role of data-mining models, statistics, and algorithms SQL SERVER 2000 ARCHITECTURE: How data mining fits into the SQL Server 2000 Analysis Services architecture and how it builds on the SQL Server 2000 relational database and its embedded online analytical processing (OLAP) engine DATA-MINING METHODS: How to choose the best data-mining method for the job--decision trees or clustering EASE OF USE FEATURES: How to use the Mining Model Wizard and the OLAP Mining Model Editor to simplify creating, training, and processing a model PROGRAMMING THE DATA-MINING SERVICES: How to use data-mining models and Data Transformation Services, PivotTable Services, decision-support objects (DSO), PERL, Visual Basic, Scripting Edition, XML, and other tools and languages to work with the data-mining engine
| Author | : Claude Seidman |
| Publisher | : |
| Total Pages | : 384 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
This book examines the SQL ServerTM 2000 Analysis Services architecture and shows how data mining fits into its complete suite of information-extraction technologies. Then it demonstrates how to find nuggets of useful information with SQL Server.
| Author | : CLAUDE SEIDMAN |
| Publisher | : |
| Total Pages | : 500 |
| Release | : 2001-09-29 |
| Genre | : |
| ISBN | : 9788976278777 |
| Author | : Barry de Ville |
| Publisher | : Digital Press |
| Total Pages | : 344 |
| Release | : 2001-05 |
| Genre | : Computers |
| ISBN | : 9781555582425 |
This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".
| Author | : Wang, John |
| Publisher | : IGI Global |
| Total Pages | : 2542 |
| Release | : 2008-08-31 |
| Genre | : Computers |
| ISBN | : 1605660116 |
There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.
| Author | : Wang, John |
| Publisher | : IGI Global |
| Total Pages | : 1382 |
| Release | : 2005-06-30 |
| Genre | : Computers |
| ISBN | : 1591405599 |
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.
| Author | : Edward Whalen |
| Publisher | : |
| Total Pages | : 472 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : |
This title provides all the information that developers and database administrators need to configure Microsoft SQL Server 2000 for optimum performance and scalability. Unlike other SQL Server 2000 tuning books on the market, it teaches not just about the SQL Server relational database management system, but also about how to get the most out of the underlying operating system and hardware.
| Author | : Vinu Das |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 900 |
| Release | : 2013-01-02 |
| Genre | : Computers |
| ISBN | : 364225733X |
This book constitutes the proceedings of the First International Conference on Computational Intelligence and Information Technology, CIIT 2011, held in Pune, India, in November 2011. The 58 revised full papers, 67 revised short papers, and 32 poster papers presented were carefully reviewed and selected from 483 initial submissions. The papers are contributed by innovative academics and industrial experts in the field of computer science, information technology, computational engineering, mobile communication and security and offer a stage to a common forum, where a constructive dialog on theoretical concepts, practical ideas and results of the state of the art can be developed.
