Data Mining Warehousing

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Data Warehousing And Mining

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Author : ITLESL
language : en
Publisher: Pearson Education India
Release Date : 2012

Data Warehousing And Mining written by ITLESL and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.

Data Warehousing and Data Mining is presented in a question-and-answer format following the examination pattern and covers all key topics in the syllabus. The book is designed to make learning fast and effective and is precise, up-to-date and will help students excel in their examinations. The book is part of the Express Learning is a series of books designed as quick reference guides to important undergraduate courses. The organized and accessible format of these books allows students to learn important concepts in an easy-to-understand, question-and-answer format. These portable learning tools have been designed as one-stop references for students to understand and master the subjects by themselves.

Data Mining And Warehousing

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Author : S. Prabhu
language : en
Publisher: New Age International
Release Date : 2007

Data Mining And Warehousing written by S. Prabhu and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.

Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.

Data Mining And Warehousing

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Author : Khusboo Saxena
language : en
Publisher: Bpb Publication
Release Date : 2017-09-29

Data Mining And Warehousing written by Khusboo Saxena and has been published by Bpb Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Computers categories.

Description: The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. The book discusses design issues for phases of mining in substantial depth. The stress is more on problem solving. Various Comprehensive coverage of various aspects of Data Mining and Warehousing concepts Strictly in accordance for the syllabus covered under B.E./B.Tech/MCA Simple language, crystal clear approach, straight forward comprehensible presentation Adopting user friendly classroom lecture style The concepts are duly supported by sever examples Syllabus coverage of three universities UPTU, RTU and RGPV Table Of Contents: Chapter 1: Introduction To Data Mining Chapter 2: Concept Description Chapter 3: Association Rule Mining Chapter 4: Classification and Predictions Chapter 5: Cluster Analysis Chapter 6: Introduction to Data Warehouse Chapter 7: OLAP Technology Chapter 8: Advance Topic On Data Mining and Warehousing

Intelligent Data Warehousing

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Author : Zhengxin Chen
language : en
Publisher: CRC Press
Release Date : 2001-12-13

Intelligent Data Warehousing written by Zhengxin Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-13 with Computers categories.

Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in

Data Warehousing And Mining Concepts Methodologies Tools And Applications

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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2008-05-31

Data Warehousing And Mining Concepts Methodologies Tools And Applications written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-31 with Technology & Engineering categories.

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Data Mining And Data Warehousing

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Author : Barbara Mento
language : en
Publisher: Association of Research Libr
Release Date : 2003

Data Mining And Data Warehousing written by Barbara Mento and has been published by Association of Research Libr this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Data mining categories.

"The goal of this survey was to determine the extent to which data mining technology is being used by ARL member institutions, researchers, libraries and and administrations. The survey also hoped to elicit ideas and opinions concerning the potential role of libraries in supporting data mining and data warehousing in research institutions. The first seven survey questions focus on data mining and data warehousing activities at the institutional level. The remaining questions explore the current library use of data mining technology and opportunities for future use. Since data warehouses are the foundation of data mining, several questions focused on current support and future plans for data warehousing. The survey was sent to 124 ARL member libraries. Sixty-five (52%) responded to the survey"--P. 9.

Data Warehousing

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Author : S. Nagabhushana
language : en
Publisher: New Age International
Release Date : 2006

Data Warehousing written by S. Nagabhushana and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Data mining categories.

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 Mining And Data Warehousing

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Author : Bharat Bhushan Agarwal
language : en
Publisher: Laxmi Publications, Ltd.
Release Date : 2009

Data Mining And Data Warehousing written by Bharat Bhushan Agarwal and has been published by Laxmi Publications, Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Data mining categories.

Data Warehousing Data Mining And Olap

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Author : Alex Berson
language : en
Publisher: McGraw-Hill Companies
Release Date : 1997

Data Warehousing Data Mining And Olap written by Alex Berson and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.

"Data Warehousing" is the nuts-and-bolts guide to designing a data management system using data warehousing, data mining, and online analytical processing (OLAP) and how successfully integrating these three technologies can give business a competitive edge.

Learn Data Warehousing In 24 Hours

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Author : Alex Nordeen
language : en
Publisher: Guru99
Release Date : 2020-09-15

Learn Data Warehousing In 24 Hours written by Alex Nordeen and has been published by Guru99 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Computers categories.

Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table Of Content Chapter 1: What Is Data Warehouse? 1. What is Data Warehouse? 2. Types of Data Warehouse 3. Who needs Data warehouse? 4. Why We Need Data Warehouse? 5. Data Warehouse Tools Chapter 2: Data Warehouse Architecture 1. Characteristics of Data warehouse 2. Data Warehouse Architectures 3. Datawarehouse Components 4. Query Tools Chapter 3: ETL Process 1. What is ETL? 2. Why do you need ETL? 3. ETL Process 4. ETL tools Chapter 4: ETL Vs ELT 1. What is ETL? 2. Difference between ETL vs. ELT Chapter 5: Data Modeling 1. What is Data Modelling? 2. Types of Data Models 3. Characteristics of a physical data model Chapter 6: OLAP 1. What is Online Analytical Processing? 2. Types of OLAP systems 3. Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) 1. What is MOLAP? 2. MOLAP Architecture 3. MOLAP Tools Chapter 8: OLAP Vs OLTP 1. What is the meaning of OLAP? 2. What is the meaning of OLTP? 3. Difference between OLTP and OLAP Chapter 9: Dimensional Modeling 1. What is Dimensional Model? 2. Elements of Dimensional Data Model 3. Attributes 4. Difference between Dimension table vs. Fact table 5. Steps of Dimensional Modelling 6. Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema 1. What is Multidimensional schemas? 2. What is a Star Schema? 3. What is a Snowflake Schema? 4. Difference between Start Schema and Snowflake Chapter 11: Data Mart 1. What is Data Mart? 2. Type of Data Mart 3. Steps in Implementing a Datamart Chapter 12: Data Mart Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Mart? 3. Differences between a Data Warehouse and a Data Mart Chapter 13: Data Lake 1. What is Data Lake? 2. Data Lake Architecture 3. Key Data Lake Concepts 4. Maturity stages of Data Lake Chapter 14: Data Lake Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Lake? 3. Key Difference between the Data Lake and Data Warehouse Chapter 15: What Is Business Intelligence? 1. What is Business Intelligence 2. Why is BI important? 3. How Business Intelligence systems are implemented? 4. Four types of BI users Chapter 16: Data Mining 1. What is Data Mining? 2. Types of Data 3. Data Mining Process 4. Modelling 5. Data Mining Techniques Chapter 17: Data Warehousing Vs Data Mining 1. What is Data warehouse? 2. What Is Data Mining? 3. Difference between Data mining and Data Warehousing?