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Citizen in Sensor Networks, Jordi Nin; Daniel Villatoro


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Автор: Jordi Nin; Daniel Villatoro
Название:  Citizen in Sensor Networks
ISBN: 9783642360732
Издательство: Springer
Классификация:

ISBN-10: 3642360734
Обложка/Формат: Paperback
Страницы: 95
Вес: 0.16 кг.
Дата издания: 09.01.2013
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 6
Основная тема: Computer Science
Подзаголовок: First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Citizen Sensor Networks, CitiSens 2012, in Montpellier, France, on August 27, 2012. The accepted papers deal with topics like crowdsourcing, smart cities, multi-agent systems, privacy in social networks, data anonymity or smart sensors.


Bayesian networks and influence diagrams: a guide to construction and analysis

Автор: Kjarulff, Uffe B. Madsen, Anders L.
Название: Bayesian networks and influence diagrams: a guide to construction and analysis
ISBN: 1461451035 ISBN-13(EAN): 9781461451037
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Engineering Applications of Neural Networks

Автор: Jayne
Название: Engineering Applications of Neural Networks
ISBN: 3319441876 ISBN-13(EAN): 9783319441870
Издательство: Springer
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Цена: 9503.00 р.
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.

Data Science and Complex Networks

Автор: Caldarelli, Guido; Chessa, Alessandro
Название: Data Science and Complex Networks
ISBN: 0199639604 ISBN-13(EAN): 9780199639601
Издательство: Oxford Academ
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Цена: 9187.00 р.
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Описание: This book guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.

Artificial Neural Networks – ICANN 2009

Автор: Cesare Alippi; Marios M. Polycarpou; Christos Pana
Название: Artificial Neural Networks – ICANN 2009
ISBN: 3642042732 ISBN-13(EAN): 9783642042737
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS).

Citizen in Sensor Networks

Автор: Jordi Nin; Daniel Villatoro
Название: Citizen in Sensor Networks
ISBN: 3319041770 ISBN-13(EAN): 9783319041773
Издательство: Springer
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Цена: 8803.00 р.
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Описание: This book constitutes the proceedings of the Second International Conference on Citizen Sensor Networks, CitiSens 2013, held in Barcelona, Spain, in September 2013. The topics covered are: trajectory mining, smart cities, multi-agents systems, networks simulation, smart sensors and clustering or data anonymization.

Data Mining Techniques in Sensor Networks

Автор: Annalisa Appice; Anna Ciampi; Fabio Fumarola; Dona
Название: Data Mining Techniques in Sensor Networks
ISBN: 1447154533 ISBN-13(EAN): 9781447154532
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data.

Summarizing biological networks.

Автор: Sourav S. Bhowmick , Boon-Siew Seah
Название: Summarizing biological networks.
ISBN: 3319546201 ISBN-13(EAN): 9783319546209
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network.

Prediction and Inference from Social Networks and Social Media

Автор: Jalal Kawash; Nitin Agarwal; Tansel ?zyer
Название: Prediction and Inference from Social Networks and Social Media
ISBN: 3319510487 ISBN-13(EAN): 9783319510484
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book addresses the challenges of social network and social media analysis in terms of prediction and inference. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection.

Designing Networks for Innovation and Improvisation

Автор: Zylka
Название: Designing Networks for Innovation and Improvisation
ISBN: 3319426966 ISBN-13(EAN): 9783319426969
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This volume is focused on the emerging concept of Collaborative Innovation Networks (COINs). COINs are at the core of collaborative knowledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. It includes the refereed conference papers from the 6th International Conference on COINs, June 8-11, 2016, in Rome, Italy. It includes papers for both application areas of COINs, (1) optimizing organizational creativity and performance, and (2) discovering and predicting new trends by identifying COINs on the Web through online social media analysis. Papers at COINs16 combine a wide range of interdisciplinary fields such as social network analysis, group dynamics, design and visualization, information systems and the psychology and sociality of collaboration, and intercultural analysis through the lens of online social media. They will cover most recent advances in areas from leadership and collaboration, trend prediction and data mining, to social competence and Internet communication.

Artificial Neural Networks in Pattern Recognition

Автор: Schwenker
Название: Artificial Neural Networks in Pattern Recognition
ISBN: 3319461818 ISBN-13(EAN): 9783319461816
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.

Artificial Neural Networks

Автор: da Silva
Название: Artificial Neural Networks
ISBN: 3319431617 ISBN-13(EAN): 9783319431611
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios.

Data Mining In Dynamic Social Networks And Fuzzy Systems

Автор: Bhatnagar
Название: Data Mining In Dynamic Social Networks And Fuzzy Systems
ISBN: 1466642130 ISBN-13(EAN): 9781466642133
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: <em>Data Mining in Dynamic Social Networks and Fuzzy Systems</em> brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organisational development.


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