Integrations of Data Warehousing, Data Mining and Database Technologies

Integrations of Data Warehousing, Data Mining and Database Technologies PDF

Author: David Taniar

Publisher:

Published: 2011

Total Pages:

ISBN-13:

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"This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.

Integrations of Data Warehousing, Data Mining and Database Technologies

Integrations of Data Warehousing, Data Mining and Database Technologies PDF

Author: David Taniar

Publisher: IGI Global

Published: 2011

Total Pages: 0

ISBN-13: 9781609605377

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"This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher.

New Trends in Data Warehousing and Data Analysis

New Trends in Data Warehousing and Data Analysis PDF

Author: Stanisław Kozielski

Publisher: Springer Science & Business Media

Published: 2008-11-21

Total Pages: 365

ISBN-13: 9780387874302

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Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

Advances in Database Technologies

Advances in Database Technologies PDF

Author: Yahiko Kambayashi

Publisher: Springer

Published: 2004-01-30

Total Pages: 614

ISBN-13: 354049121X

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This book presents the thoroughly refereed joint post-proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents.

Data Mining

Data Mining PDF

Author: Bhavani Thuraisingham

Publisher: CRC Press

Published: 2014-01-23

Total Pages: 288

ISBN-13: 1482252503

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Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues. This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence. Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Improving Knowledge Discovery through the Integration of Data Mining Techniques PDF

Author: Usman, Muhammad

Publisher: IGI Global

Published: 2015-08-03

Total Pages: 418

ISBN-13: 146668514X

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Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Research and Trends in Data Mining Technologies and Applications

Research and Trends in Data Mining Technologies and Applications PDF

Author: Taniar, David

Publisher: IGI Global

Published: 2006-10-31

Total Pages: 340

ISBN-13: 1599042738

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Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.

Data Warehousing Olap And Data Mining

Data Warehousing Olap And Data Mining PDF

Author: S. Nagabhushana

Publisher: New Age International

Published: 2006

Total Pages: 22

ISBN-13: 8122417647

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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 Warehousing, Data Mining, and OLAP

Data Warehousing, Data Mining, and OLAP PDF

Author: Alex Berson

Publisher: McGraw-Hill Companies

Published: 1997

Total Pages: 648

ISBN-13:

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"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.