Organizational Data Mining

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Organizational Data Mining

Hamid R. Nemati,Christopher D. Barko
Organizational Data Mining Book PDF

Author : Hamid R. Nemati,Christopher D. Barko
Publisher : IGI Global
Page : 371 pages
File Size : 54,8 Mb
Release : 2004-01-01
Category : Business & Economics
ISBN : 9781591401353

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Organizational Data Mining by Hamid R. Nemati,Christopher D. Barko Pdf

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).

Managing Data Mining Technologies in Organizations

Parag C. Pendharkar
Managing Data Mining Technologies in Organizations Book PDF

Author : Parag C. Pendharkar
Publisher : IGI Global
Page : 301 pages
File Size : 41,5 Mb
Release : 2003-01-01
Category : Computers
ISBN : 9781591400578

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Managing Data Mining Technologies in Organizations by Parag C. Pendharkar Pdf

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.

Organizational Data Mining

Hamid R. Nemati,Christopher D. Barko
Organizational Data Mining Book PDF

Author : Hamid R. Nemati,Christopher D. Barko
Publisher : IGI Global
Page : 392 pages
File Size : 55,5 Mb
Release : 2004-01-01
Category : Computers
ISBN : 1591402220

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Organizational Data Mining by Hamid R. Nemati,Christopher D. Barko Pdf

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 in Public and Private Sectors: Organizational and Government Applications

Syvajarvi, Antti,Stenvall, Jari
Data Mining in Public and Private Sectors Organizational and Government Applications Book PDF

Author : Syvajarvi, Antti,Stenvall, Jari
Publisher : IGI Global
Page : 448 pages
File Size : 45,9 Mb
Release : 2010-06-30
Category : Computers
ISBN : 9781605669076

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Data Mining in Public and Private Sectors: Organizational and Government Applications by Syvajarvi, Antti,Stenvall, Jari Pdf

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.

Data Mining for Business Applications

Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Data Mining for Business Applications Book PDF

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 46,6 Mb
Release : 2008-10-03
Category : Computers
ISBN : 9780387794204

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Data Mining for Business Applications by Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang Pdf

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.

Innovations in Big Data Mining and Embedded Knowledge

Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Innovations in Big Data Mining and Embedded Knowledge Book PDF

Author : Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Publisher : Springer
Page : 276 pages
File Size : 46,7 Mb
Release : 2019-07-03
Category : Technology & Engineering
ISBN : 9783030159399

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Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain Pdf

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Data Mining and Business Intelligence

Stephan Kudyba,Richard Hoptroff
Data Mining and Business Intelligence Book PDF

Author : Stephan Kudyba,Richard Hoptroff
Publisher : IGI Global
Page : 184 pages
File Size : 41,5 Mb
Release : 2001-01-01
Category : Computers
ISBN : 1930708033

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Data Mining and Business Intelligence by Stephan Kudyba,Richard Hoptroff Pdf

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).

Knowledge Discovery Process and Methods to Enhance Organizational Performance

Kweku-Muata Osei-Bryson,Corlane Barclay
Knowledge Discovery Process and Methods to Enhance Organizational Performance Book PDF

Author : Kweku-Muata Osei-Bryson,Corlane Barclay
Publisher : CRC Press
Page : 404 pages
File Size : 42,6 Mb
Release : 2015-03-16
Category : Business & Economics
ISBN : 9781482212389

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Knowledge Discovery Process and Methods to Enhance Organizational Performance by Kweku-Muata Osei-Bryson,Corlane Barclay Pdf

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to id

Ethical Data Mining Applications for Socio-Economic Development

Hakikur Rahman,Isabel Ramos
Ethical Data Mining Applications for Socio Economic Development Book PDF

Author : Hakikur Rahman,Isabel Ramos
Publisher : IGI Global
Page : 360 pages
File Size : 52,8 Mb
Release : 2013-05-31
Category : Computers
ISBN : 9781466640795

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Ethical Data Mining Applications for Socio-Economic Development by Hakikur Rahman,Isabel Ramos Pdf

"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical dilemmas in the information and communications technology sector"--Provided by publisher.

Customer and Business Analytics

Daniel S. Putler,Robert E. Krider
Customer and Business Analytics Book PDF

Author : Daniel S. Putler,Robert E. Krider
Publisher : CRC Press
Page : 314 pages
File Size : 42,8 Mb
Release : 2012-05-07
Category : Business & Economics
ISBN : 9781466503984

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Customer and Business Analytics by Daniel S. Putler,Robert E. Krider Pdf

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Artificial Intelligence and Data Mining for Mergers and Acquisitions

Debasis Chanda
Artificial Intelligence and Data Mining for Mergers and Acquisitions Book PDF

Author : Debasis Chanda
Publisher : CRC Press
Page : 263 pages
File Size : 51,9 Mb
Release : 2021-03-18
Category : Business & Economics
ISBN : 9780429755408

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Artificial Intelligence and Data Mining for Mergers and Acquisitions by Debasis Chanda Pdf

The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed, using a fuzzy mathematical approach, aiming to discover knowledge. A Knowledge-Based framework has been proposed in order to present an all-inclusive knowledge store for static and dynamic properties. Toward this direction, a Knowledge Base is created, and inferences are arrived at. This book features an advisory tool for Mergers and Acquisitions of Organizations using the Fuzzy Data Mining Framework and highlights the novelty of a Knowledge-Based Service-Oriented Architecture approach and development of an Enterprise Architectural model using AI that serves a wide audience. Students of Strategic Management in business schools and postgraduate programs in technology institutes seeking application areas of AI and Data Mining, as well as business/technology professionals in organizations aiming to create value through Mergers and Acquisitions and elsewhere, will benefit from the reading of this book.

Managing Data Mining Technologies in Organizations

Parag C. Pendharkar
Managing Data Mining Technologies in Organizations Book PDF

Author : Parag C. Pendharkar
Publisher : IGI Global
Page : 288 pages
File Size : 46,5 Mb
Release : 2003-01-01
Category : Computers
ISBN : 9781591400837

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Managing Data Mining Technologies in Organizations by Parag C. Pendharkar Pdf

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

Ian H. Witten,Eibe Frank,Mark A. Hall
Data Mining Book PDF

Author : Ian H. Witten,Eibe Frank,Mark A. Hall
Publisher : Elsevier
Page : 665 pages
File Size : 44,8 Mb
Release : 2011-02-03
Category : Computers
ISBN : 9780080890364

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Data Mining by Ian H. Witten,Eibe Frank,Mark A. Hall Pdf

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

Predictive Analytics, Data Mining and Big Data

S. Finlay
Predictive Analytics Data Mining and Big Data Book PDF

Author : S. Finlay
Publisher : Springer
Page : 241 pages
File Size : 53,9 Mb
Release : 2014-07-01
Category : Business & Economics
ISBN : 9781137379283

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Predictive Analytics, Data Mining and Big Data by S. Finlay Pdf

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Domain Driven Data Mining

Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Domain Driven Data Mining Book PDF

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 40,6 Mb
Release : 2010-01-08
Category : Computers
ISBN : 9781441957375

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Domain Driven Data Mining by Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao Pdf

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.