Search results for: a-comparative-study-of-very-large-data-bases

A Comparative Study of Very Large Data Bases

Author : E. Jr. Hill
File Size : 27.47 MB
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A comparative study of very large data bases

Author : Edward Hill
File Size : 67.19 MB
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A Comparative Study of Very Large Data Bases

Author : Edward Hill (Jr.)
File Size : 76.7 MB
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Author :
File Size : 61.96 MB
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Kommunikation in verteilten Systemen

Author : S. Schindler
File Size : 46.21 MB
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Werkzeuge der Programmiertechnik

Author : G. Goos
File Size : 65.28 MB
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Scientific and Technical Aerospace Reports

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Handbook of Research on Innovations in Database Technologies and Applications

Author : Viviana E. Ferraggine
File Size : 56.93 MB
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"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.

Content Addressable Memories

Author : T. Kohonen
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Designers and users of computer systems have long been aware of the fact that inclusion of some kind of content-addressable or "associative" functions in the storage and retrieval mechanisms would allow a more effective and straightforward organization of data than with the usual addressed memories, with the result that the computing power would be significantly increased. However, although the basic principles of content-addressing have been known for over twenty years, the hardware content-addressable memories (CAMs) have found their way only to special roles such as small buffer memories and con trol units. This situation now seems to be changing: Because of the develop ment of new technologies such as very-large-scale integration of semiconduc tor circuits, charge-coupled devices, magnetic-bubble memories, and certain devices based on quantum-mechanical effects, an increasing amount of active searching functions can be transferred to memory units. The prices of the more complex memory components which earlier were too high to allow the application of these principles to mass memories will be reduced to a fraction of the to tal system costs, and this will certainly have a significant impact on the new computer architectures. In order to advance the new memory principles and technologies, more in formation ought to be made accessible to a common user.

Catalog of Copyright Entries Third Series

Author : Library of Congress. Copyright Office
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Proceedings Very Large Data Bases

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File Size : 78.58 MB
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Selected Contributions in Data Analysis and Classification

Author : Paula Brito
File Size : 64.41 MB
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"This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, graph analysis, consensus methods, conceptual analysis of data, analysis of symbolic data, statistical multivariate methods, data mining and knowledge discovery in databases. Besides structural and theoretical results, the book presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, bank fraud detection, and text analysis. Combining new methodological advances with a wide variety of real applications, this volume is certainly of special value for researchers and practitioners, providing new analytical tools that are useful in theoretical research and daily practice in classification and data analysis."--Publisher's website.


Author : Jamal Zbitou
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Today, computer science engineering and telecommunications are two important areas linked and even inseparable. This is obvious for the user who connects the modem of his computer on his mobile phone or telephone line to access, via the global data network, the information available on the servers. The both domains are evolving rapidly and the development of new architectures of systems dedicated to telecommunications and computing becomes essential. Especially, wireless transmission systems with high data rate. Two parts of these systems should be developed software and hardware. Another area that is renewable energies becomes more attractive for researchers in order to develop new conversion systems with good performances, and a good optimization of energy. For example, in wireless sensor systems, we try to develop new protocols permitting to have a good autonomy in terms of energy.

ICT Innovations 2016

Author : Georgi Stojanov
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The International Conference on ICT Innovations was held in September 2016, in Ohrid, Macedonia, with the main topic “Cognitive Functions and Next Generation ICT Systems”. We live in the era where technologies are intimately woven into virtually all aspects of daily life and are becoming almost invisible. While these technologies have considerable benefits, they also have a number of shortcomings and unforeseen consequences. For example, on the one hand, bodily sensors that track physical activity, physiological parameters and sleep patterns can help promote healthy habits and can enable early detection of problems. On the other hand, attention spans are becoming shorter and shorter due to constant interruptions by notifications, emails, and instant messages being delivered to cell phones or watches, and similar disturbances. Moreover, the privacy issues involved in storing and manipulation of these data must not be neglected. The technological convergence of sciences that were considered separate in the past, like information and communication technologies, cognitive sciences, nanotechnologies and biotechnologies, determines not only our society, health and economy, but also our education and culture. The conference gathered academics, professionals and practitioners involved in developing solutions and systems in the industrial and business arena, especially innovative commercial implementations, to discuss novel applications of these next-generation, emerging technologies in the context of human cognitive functions.

GIS and Machine Learning for Small Area Classifications in Developing Countries

Author : Adegbola Ojo
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Since the emergence of contemporary area classifications, population geography has witnessed a renaissance in the area of policy related spatial analysis. Area classifications subsume geodemographic systems which often use data mining techniques and machine learning algorithms to simplify large and complex bodies of information about people and the places in which they live, work and undertake other social activities. Outputs developed from the grouping of small geographical areas on the basis of multi- dimensional data have proved beneficial particularly for decision-making in the commercial sectors of a vast number of countries in the northern hemisphere. This book argues that small area classifications offer countries in the Global South a distinct opportunity to address human population policy related challenges in novel ways using area-based initiatives and evidence-based methods. This book exposes researchers, practitioners, and students to small area segmentation techniques for understanding, interpreting, and visualizing the configuration, dynamics, and correlates of development policy challenges at small spatial scales. It presents strategic and operational responses to these challenges in cost effective ways. Using two developing countries as case studies, the book connects new transdisciplinary ways of thinking about social and spatial inequalities from a scientific perspective with GIS and Data Science. This offers all stakeholders a framework for engaging in practical dialogue on development policy within urban and rural settings, based on real-world examples. Features: The first book to address the huge potential of small area segmentation for sustainable development, combining explanations of concepts, a range of techniques, and current applications. Includes case studies focused on core challenges that confront developing countries and provides thorough analytical appraisal of issues that resonate with audiences from the Global South. Combines GIS and machine learning methods for studying interrelated disciplines such as Demography, Urban Science, Sociology, Statistics, Sustainable Development and Public Policy. Uses a multi-method approach and analytical techniques of primary and secondary data. Embraces a balanced, chronological, and well sequenced presentation of information, which is very practical for readers.

Business Information Systems Workshops

Author : Witold Abramowicz
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This book constitutes the proceedings of the nine workshops that were organized in conjunction with the Business Information Systems Conference, BIS 2009, taking place in Poznan, Poland, on April 27-29, 2009. The 34 papers presented were carefully reviewed and selected from 72 submissions. In addition, the volume contains the BIS 2009 keynote speech and two invited speeches presented at the workshops LIT and ECONOM/Enterprise X.0. The topics covered are DeepWeb (ADW), applications and economics of knowledge-based technologies (AKTB, ECONOM), service-oriented architectures (SDS-SOA), legal IT (LIT), social Web and Web 2.0 (SAW, Enterprise X.0), e-learning (EeLT), and enterprise systems in higher education (ESHE).

Erzeugung und Analyse von Bildern und Strukturen

Author : S. J. Pöppl
File Size : 74.21 MB
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Databases and Information Systems VIII

Author : A. Kalja
File Size : 38.37 MB
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Databases and information systems are the backbone of modern information technology and are crucial to the IT systems which support all aspects of our everyday life; from government, education and healthcare, to business processes and the storage of our personal photos and archives. This book presents 22 of the best revised papers accepted following stringent peer review for the 11th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2014), held in Tallinn, Estonia, in June 2014. The conference provided a forum for the exchange of scientific achievements between the research communities of the Baltic countries and the rest of the world in the area of databases and information systems, bringing together researchers, practitioners and Ph.D. students from many countries. The subject areas covered at the conference focused on big data processing, data warehouses, data integration and services, data and knowledge management, e-government, as well as e-services and e-learning.

Successes and New Directions in Data Mining

Author : Florent Masseglia
File Size : 80.23 MB
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The problem of mining patterns is becoming a very active research area and efficient techniques have been widely applied to problems in industry, government, and science. From the initial definition and motivated by real-applications, the problem of mining patterns not only addresses the finding of itemsets but also more and more complex patterns.

Successes and New Directions in Data Mining addresses existing solutions for data mining, with particular emphasis on potential real-world applications. Capturing defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining, this book is an indispensable resource for library collections.