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Semantic Modeling and Enrichment of Mobile and WiFi Network Data

This book discusses the fusion of mobile and WiFi network data with semantic technologies and diverse context sources for offering;

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Networked Digital Technologies

; data and network mining; grid and cloud computing; information and data management; intelligent agent-based systems; internet modeling and;

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Natural Language Processing

; communication mediated through natural language generation in big data environments; web semantic and ontology; and understanding creative language;

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Networked Digital Technologies, Part II

; data and network mining; grid and cloud computing; information and data management; intelligent agent-based systems; internet modeling and;

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Semantic Modeling for Data Avoiding Pitfalls and Breaking Dilemmas

of the right data and the technology to extract business gold-but you still fail. The reason? Bad data semantics. In this practical and;

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Network Architect's Guide to 5G, A

guides have foregrounded RF/radio and mobile core innovations, not its implications for data networks. A Network Architect's Guide to 5G fills;

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Data-Driven Fuzzy Modeling for Wireless Ad-Hoc Networks

The present book considers Wireless Ad-hoc Networks (WANETs) in the context of 4G network technologies and Ambient Intelligence. The book;

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Advances in Mobile Computing and Communications

beyond using HetNets. Finally, the authors delve into opportunistic multiconnect networks with P2P WiFi and cellular providers and video;

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Mobile Big Data

signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These;

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Mobile Big Data

signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These;

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Wireless and Mobile Network Security

This book provides a thorough examination and analysis of cutting-edge research and security solutions in wireless and mobile networks. It;

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Mobile Data Mining and Applications

This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion;

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Journal on Data Semantics XV

The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and;

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Advances in Dynamic Network Modeling in Complex Transportation Systems

of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states;

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The Semantic Web

are included, selected out of 14 submissions. The papers are organized in the following tracks: semantic data management, big data, and;

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Techniques for Surviving the Mobile Data Explosion

developers can use to minimize the impact of congested networks on user experience, and techniques that websites and data center operators can use to;

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Knowledge Grid

communities, autonomous semantic data model, and cyber-physical-socio semantic link network; (3) Semantic peer-to-peer infrastructures for efficient;

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Intelligent Data Communication Technologies and Internet of Things

domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data;

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Semantic Web for the Working Ontologist

, including ecommerce, social networking, data mining, using government data, and more Even more illustrative examples and case studies that;

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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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The Semantic Web

are included, selected out of 14 submissions. The papers are organized in the following tracks: semantic data management, big data, and;

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EPC and 4G Packet Networks

variety of network accesses, including LTE, LTE-Advanced, WCDMA/HSPA, GSM, WiFi, etc.The most common operator scenarios of EPS and the common;

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On the Move to Meaningful Internet Systems OTM 2015 Workshops

systems, they experience the application pull created by the Internet and by the so-called Semantic Web, in particular developments of Big Data;

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Statistical Analysis of Network Data with R

of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package;

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The Semantic Web: Trends and Challenges

web science; data management; natural language processing; reasoning; machine learning, linked open data; cognition and semantic web;

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Managing Event Information

generate information about events they observe and participate in. A significant fraction of this information contains multimedia data to share the;

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Cloud Computing and Digital Media

, authentication, cross-network mediadata fusion, interdevice media interaction/reaction, data centers, PaaS, SaaS, and more. The book covers;

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