Data Warehousing Olap And Data Mining

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Author :
Release : 2006
Genre : Data mining
Kind :
Book Rating : 647/5 ( reviews)

Data Warehousing Olap And Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Warehousing Olap And Data Mining write by S. Nagabhushana. This book was released on 2006. Data Warehousing Olap And Data Mining available in PDF, EPUB and Kindle. This Book Is Mainly Intended For It Students And Professionals To Learn Or Implement Data Warehousing Technologies. It Experiences The Real-Time Environment And Promotes Planning, Managing, Designing, Implementing, Supporting, Maintaining And Analyzing Data Warehouse In Organizations And It Also Provides Various Mining Techniques As Well As Issues In Practical Use Of Data Mining Tools.The Book Is Designed For The Target Audience Such As Specialists, Trainers And It Users. It Does Not Assume Any Special Knowledge As Background. Understanding Of Computer Use, Databases And Statistics Will Be Helpful.

Data Warehouses and OLAP

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Author :
Release : 2007-01-01
Genre : Computers
Kind :
Book Rating : 645/5 ( reviews)

Data Warehouses and OLAP - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Warehouses and OLAP write by Robert Wrembel. This book was released on 2007-01-01. Data Warehouses and OLAP available in PDF, EPUB and Kindle. Data warehouses and online analytical processing (OLAP) are emerging key technologies for enterprise decision support systems. They provide sophisticated technologies from data integration, data collection and retrieval, query optimization, and data analysis to advanced user interfaces. New research and technological achievements in the area of data warehousing are implemented in commercial database management systems, and organizations are developing data warehouse systems into their information system infrastructures. Data Warehouses and OLAP: Concepts, Architectures and Solutions covers a wide range of technical, technological, and research issues. It provides theoretical frameworks, presents challenges and their possible solutions, and examines the latest empirical research findings in the area. It is a resource of possible solutions and technologies that can be applied when designing, implementing, and deploying a data warehouse, and assists in the dissemination of knowledge in this field.

Data Warehousing, Data Mining, & Olap

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Author :
Release : 2004-03
Genre :
Kind :
Book Rating : 410/5 ( reviews)

Data Warehousing, Data Mining, & Olap - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Warehousing, Data Mining, & Olap write by Berson. This book was released on 2004-03. Data Warehousing, Data Mining, & Olap available in PDF, EPUB and Kindle.

Data Mining and Data Warehousing

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Release : 2019-06-27
Genre : Computers
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Book Rating : 85X/5 ( reviews)

Data Mining and Data Warehousing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining and Data Warehousing write by Parteek Bhatia. This book was released on 2019-06-27. Data Mining and Data Warehousing available in PDF, EPUB and Kindle. Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding.

Data Mining and Reverse Engineering

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Release : 1998-04-30
Genre : Computers
Kind :
Book Rating : 506/5 ( reviews)

Data Mining and Reverse Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining and Reverse Engineering write by Stefano Spaccapietra. This book was released on 1998-04-30. Data Mining and Reverse Engineering available in PDF, EPUB and Kindle. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.