Managing Data Mining Technologies In Organizations

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Managing Data Mining Technologies in Organizations

Author : Parag C. Pendharkar
Publisher : IGI Global
ISBN 13 : 1591400570
Total Pages : 301 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Managing Data Mining Technologies in Organizations by : Parag C. Pendharkar

Download or read book Managing Data Mining Technologies in Organizations written by Parag C. Pendharkar and published by IGI Global. This book was released on 2003-01-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portals present unique strategic challenges in the academic environment. Their conceptualization and design requires the input of campus constituents who seldom interact and whose interests are often opposite. The implementation of a portal requires a coordination of applications and databases controlled by different campus units at a level that may never before have been attempted at the institution. Building a portal is as much about constructing intra-campus bridges as it is about user interfaces and content. Designing Portals: Opportunities and Challenges discusses the current status of portals in higher education by providing insight into the role portals play in an institution's business and educational strategy, by taking the reader through the processes of conceptualization, design, and implementation of the portals (in different stages of development) at major universities and by offering insight from three producers of portal software systems in use at institutions of higher learning and elsewhere.

Managing Data Mining Technologies in Organizations

Author : Parag C. Pendharkar
Publisher : IGI Global
ISBN 13 : 159140083X
Total Pages : 288 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Managing Data Mining Technologies in Organizations by : Parag C. Pendharkar

Download or read book Managing Data Mining Technologies in Organizations written by Parag C. Pendharkar and published by IGI Global. This book was released on 2003-01-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portals present unique strategic challenges in the academic environment. Their conceptualization and design requires the input of campus constituents who seldom interact and whose interests are often opposite. The implementation of a portal requires a coordination of applications and databases controlled by different campus units at a level that may never before have been attempted at the institution. Building a portal is as much about constructing intra-campus bridges as it is about user interfaces and content. Designing Portals: Opportunities and Challenges discusses the current status of portals in higher education by providing insight into the role portals play in an institution's business and educational strategy, by taking the reader through the processes of conceptualization, design, and implementation of the portals (in different stages of development) at major universities and by offering insight from three producers of portal software systems in use at institutions of higher learning and elsewhere.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Organizational Data Mining

Author : Hamid R. Nemati
Publisher : IGI Global
ISBN 13 : 1591401356
Total Pages : 371 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Organizational Data Mining by : Hamid R. Nemati

Download or read book Organizational Data Mining written by Hamid R. Nemati and published by IGI Global. This book was released on 2004-01-01 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).

Data Mining for Business Applications

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 0387794204
Total Pages : 310 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Data Mining for Business Applications by : Longbing Cao

Download or read book Data Mining for Business Applications written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2008-10-03 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.

Data Mining Techniques

Author : Michael J. A. Berry
Publisher : John Wiley & Sons
ISBN 13 : 0471470643
Total Pages : 671 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Data Mining Techniques by : Michael J. A. Berry

Download or read book Data Mining Techniques written by Michael J. A. Berry and published by John Wiley & Sons. This book was released on 2004-04-09 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 0080890369
Total Pages : 665 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2011-02-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Business Modeling and Data Mining

Author : Dorian Pyle
Publisher : Elsevier
ISBN 13 : 0080500455
Total Pages : 650 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Business Modeling and Data Mining by : Dorian Pyle

Download or read book Business Modeling and Data Mining written by Dorian Pyle and published by Elsevier. This book was released on 2003-05-17 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. · Teaches how to discover, construct and refine models that are useful in business situations · Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations · Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data · Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.

Data Mining

Author : Bhavani Thuraisingham
Publisher : CRC Press
ISBN 13 : 1482252503
Total Pages : 288 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Data Mining by : Bhavani Thuraisingham

Download or read book Data Mining written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-01-23 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Management, Technologies, and Applications

Author : Hu, Wen-Chen
Publisher : IGI Global
ISBN 13 : 1466647000
Total Pages : 342 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data Management, Technologies, and Applications by : Hu, Wen-Chen

Download or read book Big Data Management, Technologies, and Applications written by Hu, Wen-Chen and published by IGI Global. This book was released on 2013-10-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Microsoft Data Mining

Author : Barry de Ville
Publisher : Digital Press
ISBN 13 : 9781555582425
Total Pages : 344 pages
Book Rating : 4.5/5 (824 download)

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Book Synopsis Microsoft Data Mining by : Barry de Ville

Download or read book Microsoft Data Mining written by Barry de Ville and published by Digital Press. This book was released on 2001-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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".

Organizational Data Mining

Author : Hamid R. Nemati
Publisher : IGI Global
ISBN 13 : 9781591402220
Total Pages : 392 pages
Book Rating : 4.4/5 (22 download)

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Book Synopsis Organizational Data Mining by : Hamid R. Nemati

Download or read book Organizational Data Mining written by Hamid R. Nemati and published by IGI Global. This book was released on 2004-01-01 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).

Data Mining and Business Intelligence

Author : Stephan Kudyba
Publisher : IGI Global
ISBN 13 : 9781930708037
Total Pages : 184 pages
Book Rating : 4.7/5 (8 download)

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Book Synopsis Data Mining and Business Intelligence by : Stephan Kudyba

Download or read book Data Mining and Business Intelligence written by Stephan Kudyba and published by IGI Global. This book was released on 2001-01-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Provides an overview of data mining technology and how it is applied in a business environment. Material is not written in a technical style, but rather addresses the applied methodology behind implementing data mining techniques in the corporate environment. Explains how the technology evolved, overviews the methodologies that comprise the data mining spectrum, and looks at everyday business applications for data mining, in areas such as marketing and advertising promotions and pricing policies using econometric-based modeling, and using the Internet to help improve an organization's performance. Kudyba is an economic consultant. Hoptroff is an independent consultant with experience in data mining software. Annotation c. Book News, Inc., Portland, OR (booknews.com).

Integration of Data Mining in Business Intelligence Systems

Author : Azevedo, Ana
Publisher : IGI Global
ISBN 13 : 1466664789
Total Pages : 314 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Integration of Data Mining in Business Intelligence Systems by : Azevedo, Ana

Download or read book Integration of Data Mining in Business Intelligence Systems written by Azevedo, Ana and published by IGI Global. This book was released on 2014-09-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Managing Data Mining

Author : Stephan Kudyba
Publisher : IGI Global
ISBN 13 : 1591402441
Total Pages : 260 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Managing Data Mining by : Stephan Kudyba

Download or read book Managing Data Mining written by Stephan Kudyba and published by IGI Global. This book was released on 2004-01-01 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of high-end analytical software technologies, or data mining, can aid decision makers in extracting information and knowledge from their sometimes overwhelming store of data collected continuously in their organizations. The chapters in this collection, each written by noted practitioners and experts in various organizations, will provide you with ideas and measurements in this growing management concern."--BOOK JACKET.

Data Mining in Public and Private Sectors: Organizational and Government Applications

Author : Syvajarvi, Antti
Publisher : IGI Global
ISBN 13 : 1605669075
Total Pages : 448 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Data Mining in Public and Private Sectors: Organizational and Government Applications by : Syvajarvi, Antti

Download or read book Data Mining in Public and Private Sectors: Organizational and Government Applications written by Syvajarvi, Antti and published by IGI Global. This book was released on 2010-06-30 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians.

Domain Driven Data Mining

Author : Longbing Cao
Publisher : Springer Science & Business Media
ISBN 13 : 1441957375
Total Pages : 251 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Domain Driven Data Mining by : Longbing Cao

Download or read book Domain Driven Data Mining written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.