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Computing the Brain provides readers with an integrated view of current informatics research related to the field of neuroscience. This book clearly defines the new work being done in neuroinformatics and offers information on resources available on the Web to researchers using this new technology. It contains chapters that should appeal to a multidisciplinary audience with introductory chapters for the nonexpert reader. Neuroscientists will find this book an excellent introduction to informatics technologies and the use of these technologies in their research. Computer scientists will be interested in exploring how these technologies might benefit the neuroscience community. - An integrated view of neuroinformatics for a multidisciplinary audience - Explores and explains new work being done in neuroinformatics - Cross-disciplinary with chapters for computer scientists and neuroscientists - An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject - Discusses, in-depth, the structuring of masses of data by a variety of computational models - Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function - Offers a guide to resources and algorithms that can be found on the Web - Written by internationally renowned experts in the field
This book constitutes the thoroughly refereed post-conference proceedings of the 29th British National Conference on Databases, BNCOD 2013, held in Oxford, UK, in July 2013. The 20 revised full papers, presented together with three keynote talks, two tutorials, and one panel session, were carefully reviewed and selected from 42 submissions. Special focus of the conference has been "Big Data" and so the papers cover a wide range of topics such as query and update processing; relational storage; benchmarking; XML query processing; big data; spatial data and indexing; data extraction and social networks.
Cooperation among systems has gained substantial importance in recent years: electronic commerce virtual enterprises and the middleware paradigm are just some examples in this area. CoopIS is a multi-disciplinary conference, which deals with all aspects of cooperation. The relevant disciplines are: collaborative work, distributed databases, distributed computing, electronic commerce, human-computer interaction, multi-agent systems, information retrieval, and workflow systems. The CoopIS series provides a forum for well-known researchers who are drawn by the stature and the tradition of these conference series and has a leading role in shaping the future of the cooperative information systems area. CoopIS 2000 is the seventh conference in the series and the fifth conference organized by the International Foundation on Cooperative Information Systems (IFCIS). It is sponsored by the IFCIS, the IBM Research Laboratory in Haifa and Compaq, Tandem labs Israel. It replaces the former international workshops on Interoperability in Multidatabase systems (IMS) and the conference series on Cooperative Information Systems (CoopIS & ICICIS). In response to the call for papers 74 papers were submitted. Each of them was reviewed by at least three reviewers, and at the end of this process 24 papers were accepted for presentation at the conference. Six additional papers were selected for short presentations. In addition the conference includes two panels, two keynote speakers (Professor Calton Pu from Georgia Tech and Professor Sheizaf Rafaeli from Haifa University) and one tutorial. A special issue of the International Journal of Cooperative Information Systems will follow. August 2000 Opher Etzion & Peter Scheuermann
Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading the way to a new culture of data sharing and data mining necessary to successfully tackle neuroscience questions. Aimed at the novice user who wants to access the data, it provides clear and concise instructions on how to download the available data sets and how to use the software with a minimum of technical detail with most chapters written by the database creators themselves.
"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality,"--NoveList.
This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of database design. This book represents a quick and efficient way to unite valuable content from leading database design experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. - Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. - Details multiple relational models and modeling languages, enhancing the reader's technical expertise and familiarity with design-related requirements specification. - Coverage of both theory and practice brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases.
Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping
This book describes the theory, algorithms, and practical implementation techniques behind transaction processing in information technology systems.