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Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as: - how to use data warehouse for filtering Web content - how to retrieve relevant information from diverse sources on the Web - how to handle the time aspect - how to mechanically establish links among data warehouse structures and documents filtered from external sources - how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.
Data Warehousing and Web Engineering covers two pertinent topics that are continuously advancing the effective utilization and management of information technology applications. One objective of this book is to provide a forum for researchers and practitioners to share research about technical and managerial issues associated with data warehousing and mining. The other focus of this book is the concept of Web Engineering, as it addresses how the originally intended use of the Web as a distributed system for knowledge-interchange seems to disappear, compared to the increasing number of e-Commerce Web applications. The Web as a global point of sale seems to be very promising but obviously suffered from its heritage ? the coarse-grained implementation model, which makes it harder and harder to develop, run and maintain still growing E-Commerce applications. Consequently, Web Engineering concepts are applied to Web-Based E-Commerce applications.
Comprehensive coverage of critical issues related to information science and technology.
Provides comprehensive, in-depth coverage of all issues related to knowledge management, including conceptual, methodological, technical, and managerial issues. Presents the opportunities, future challenges, and emerging trends related to this subject.
This book constitutes the proceedings of the 6th Euro Symposium on Systems Analysis and Design, SIGSAND/PLAIS 2013, held in Gdańsk, Poland, in September 2013. The objective of this symposium is to promote and develop high-quality research on all issues related to systems analysis and design (SAND). It provides a forum for SAND researchers and practitioners in Europe and beyond to interact, collaborate, and develop their field. The 8 papers were carefully reviewed and selected with an acceptance rate of 40% and reflect the current trends in systems analysis and design. The contributions are organized into topical sections on information systems development, information systems security and information systems learning.
Innovations of Knowledge Management highlights the broad range of topics that fall under the term "knowledge management," thus emphasizing the large role knowledge management plays in organizations. As a compilation of some of the most recent work in the field, the included chapters truly present innovations in how organizations can and should manage their knowledge.
"This book provides selected examples of current developments from various countries in terms of technology, applications and services, and various real world m-government examples, their evaluations, challenges and opportunities. It contains introductory knowledge on m-Government, and then moves on to a deeper examination of various applications, that are significant in terms of current and future developments in m-Government"--Provided by publisher.
This module of the handbook concentrates on the integration and migration strategies and technologies. Topics include strategic issues in integration versus migration, Enterprise Application Integration (EAI), B2B integration, EAI/eAI platforms, data warehousing for integration, migration strategies and replacements with ERPs.
The new edition of the classic bestseller that launched thedata warehousing industry covers new approaches and technologies,many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehousesystems, the book covers new topics such as methods for handlingunstructured data in a data warehouse and storing data acrossmultiple storage media Discusses the pros and cons of relational versusmultidimensional design and how to measure return on investment inplanning data warehouse projects Covers advanced topics, including data monitoring andtesting Although the book includes an extra 100 pages worth of valuablecontent, the price has actually been reduced from $65 to $55
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 data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.