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 OECD Information Technology Outlook 2010
The OECD Information Technology Outlook 2010 has been prepared by the OECD under the guidance of the OECD Committee for Information, Computer and Communications Policy (ICCP), and in particular the Working Party on the Information Economy. This edition is the tenth in a biennial series designed to provide members with a broad overview of... |  |  Management and the Arts, Fourth Edition
Management and the Arts, Fourth Edition provides you with theory and practical applications from all management perspectives including planning, marketing, finance, economics, organizational, staffing, and group dynamics ALL related to an arts organization. Whether you are a manager in a theatre, museum, dance company, or opera, you will gain... |  |  Mathematics and Computation in Imaging Science and Information Processing
Rapid advances in communication, sensing and computational power have led to an explosion of data. The usefulness of this resource for human knowledge is determined by its accessibility and portability, which present fresh challenges to existing techniques in terms of transmission, storage, querying, display and numerical manipulation. As a... |
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 Computational Vision and Medical Image Processing: Recent Trends
Nowadays, computationalmethodologies of signal processing and imaging analysis for 2D, 3D and even 4D data are commonly used for various applications in society. For example, Computational Vision systems are progressively used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D... |  |  Epidemiology: A Very Short Introduction (Very Short Introductions)
Epidemiology plays an all-important role in many areas of medicine, from discovering the relationship between tobacco smoking and lung cancer, to documenting the impact of diet, the environment, and exercise on general health, to tracking the origin and spread of new epidemics such as Swine Flu. It is truly a vital field, central to the... |  |  |
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 Data Mining: Concepts, Models and Techniques (Intelligent Systems Reference Library)
Data Mining represents a complex of technologies that are rooted in many disciplines: mathematics, statistics, computer science, physics, engineering, biology, etc., and with diverse applications in a large variety of different domains: business, health care, science and engineering, etc. Basically, data mining can be seen as the science of... |  |  Why New Systems Fail: An Insider's Guide to Successful IT Projects
A Fortune 500 manufacturing company spent millions attempting to implement a new enterprise resource planning (ERP) system. Across the globe, a 150-employee marketing firm built and tried to implement a proprietary customer relationship management (CRM) system. For two very different companies doing two very different things, the outcomes... |  |  Data Mining: A Heuristic Approach
The last decade has witnessed a revolution in interdisciplinary research where the boundaries of different areas have overlapped or even disappeared. New fields of research emerge each day where two or more fields have integrated to form a new identity. Examples of these emerging areas include bioinformatics (synthesizing biology with... |
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