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Organizational Data Mining
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).
Encyclopedia of Data Warehousing and Mining
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of d...
Mobile Commerce Applications
Mobile Commerce Applications addresses and explores the critical architectural issues in constructing m-commerce applications and in applying mobile technologies in different areas, including methodologies, enabling technologies, models, paradigms, architectures, standards and innovations.
Web Information Systems
The era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
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.
Business Intelligence in the Digital Economy
Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.
Managing Data Mining
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.
The Social and Cognitive Impacts of E-commerce on Modern Organizations
This work includes articles addressing the social, cultural, organizational, and cognitive impacts of e-commerce technologies and advances on organizations around the world. It covers the impact of e-commerce on consumer behaviour, organizational behaviour, and development.
Encyclopedia of E-Commerce, E-Government, and Mobile Commerce
[Administration (référence électronique)].
Data Mining and Knowledge Discovery Handbook
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
