Trust Networks for Recommender Systems, Patricia Victor; Chris Cornelis; Martine De Cock
Автор: Negre Название: Information and Recommender Systems ISBN: 1848217544 ISBN-13(EAN): 9781848217546 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information is an element of knowledge that can be stored, processed or transmitted. It is linked to concepts of communication, data, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and where to find them.
Описание: Using Dominating sets with 2-Hop Neighborhood Information to Improve the Ad-Hoc On-demand Distance Vector.- Dynamically Controlling Retransmission Mechanism for Analysing QoS Parameters of IEEE 802.11 Networks.- A Non-Functional Requirements Traceability Management Method Based on Architectural Patterns.- Performance of Non-Coherent Detectors for Ultra Wide Band Short Range.- Radar in Automobile Applications.- Flexible Modeling Language in Qualitative Simulation.- Bridging Enterprise Architecture Requirements to ArchiMate.- Non-Coherent Logarithmic Detector Performance in Log-Normal and Weibull Clutter Environment (UWB Automotive Application).- A Regional matchmaking Technique for Improving Efficiency in Volunteer Computing Environment.- An Intelligent Multi-Agent Model for Resource Virtualization: Supporting Social Media Service in cloud computing.- Compiler-assisted Maximum Stack Usage Measurement Technique for Efficient Multi-threading in Memory-limited Embedded Systems.- Fault-Tolerant Clock Synchronization for Time-Triggered Wireless Sensor Network.- A Preliminary Empirical Analysis of Mobile Agent-based P2P File Retrieval.- An Approach to Sharing Business Process Models in Agile-style Global Software Engineering.- Modeling for Gesture Set Design Toward Realizing Effective Human-Vehicle Interface.- A Power Effiency based Delay Constraints Mechanism for Mobile WiMAX Systems.- An Adaptive Scheduling Algorithm for Scalable Peer-To-Peer Streaming.- Enterprise Data Loss Prevention System Having a Function of Coping with Civil Suits.- Optimal sizing of hybrid wind-PV-tide system.- A Smart Web-Sensor Based on IEEE 1451 and Web-Service Using a Gas Sensor.- CC Based Analysis Scheme for Evaluation Scope Models.- Integrating User-generated Content and Spatial Dat into Web GIS For Disaster History.- Frameworks for u-Health Bio Signal Controller.
Автор: Jos? J. Pazos Arias; Ana Fern?ndez Vilas; Rebeca P Название: Recommender Systems for the Social Web ISBN: 3642446272 ISBN-13(EAN): 9783642446276 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces opportunities and challenges that arise in the recommenders` area with the advent of Web 2.0. It presents the mains aspects in the Web 2.0 hype which have to be incorporated in traditional recommender systems.
Автор: Loke Название: Context-Aware Pervasive Systems ISBN: 0849372550 ISBN-13(EAN): 9780849372551 Издательство: Taylor&Francis Рейтинг: Цена: 15004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces a diverse set of application areas and provides blueprints for building context-aware behavior into applications. Reviewing the anatomy of context-aware pervasive applications, this resource covers abstract architecture. It also examines mobile services, appliances, smart devices, software agents and electronic communication.
Автор: Lagkas, Sarigiannidis, Louta & C Название: Evolution Of Cognitive Networks And Self-Adaptive Communication Systems ISBN: 1466641894 ISBN-13(EAN): 9781466641891 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Evolution of Cognitive Networks and Self-Adaptive Communication Systems</em> overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organising networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends towards a unified realisation for cognitive networking and communication systems.
Описание: This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.
Автор: Johann M.Ph. Schumann; Yan Liu Название: Applications of Neural Networks in High Assurance Systems ISBN: 3642106897 ISBN-13(EAN): 9783642106897 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to directly address a key part of neural network technology: state-of-the-art methods used to pass the tough verification and validation standards required in many safety-critical applications.
Автор: Alexander Gegov Название: Fuzzy Networks for Complex Systems ISBN: 3642265359 ISBN-13(EAN): 9783642265358 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book sets out the concept of a fuzzy network with rule bases as nodes whose connections are the interactions between the rule bases in the form of outputs fed as inputs. This systematic study will improve the feasibility and transparency of fuzzy models.
Автор: Christof Weinhardt; Stefan Luckner; Jochen St??er Название: Designing E-Business Systems. Markets, Services, and Networks ISBN: 3642012558 ISBN-13(EAN): 9783642012556 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the 7th Workshop on E-Business, WEB 2008, held in Paris, France, on December 13, 2008. This book covers topics such as electronic markets, electronic services, radio frequency identification, service-oriented architectures, virtual communities, and Web intelligence.
Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.
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