Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 1113, [Paperback]

This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presented were carefully reviewed and selected from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products. 

Sentiment Analysis of Chinese Words Using Word Embedding and Sentiment Morpheme Matching.- Collaborative and Green Resource Allocation in 5G HetNet With Renewable Energy.- On Cost Efficient Dataflow Computing Program Deployment in SDN Managed Distributed Computing Environment.- A Short Review of Constructing Noise Map using Crowdsensing Technology.- Research of Positioning Tracking on Dynamic Target Based on the integral complementing algorithm.- LWTP: An Improved Automatic Image Annotation Method Based on Image Segmentation.- A Comparative Analysis of Content Delivery Capability for Collaborative Dual-Architecture Network.- AXE: Objects Search in Mobile Volunteered Service 9 Modeling the Impacts of WiFi Signals on Energy Consumption of Smartphones.- Constrained Route Planning Based on the Regular Expression.-  A Human-Machine Collaborative Detection Model for Identifying Web Attacks.- A Reinforcement Learning Based Workflow Application Scheduling Approach in Dynamic Cloud Environment.- p-Faster R-CNN algorithm for food detection PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.- Position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use.- Route-Oriented Participants Recruitment in Collaborative Crowdsensing.- Management Node Selection based on Cloud Model in a Distributed Network.- CNTE: A Node Centrality-based Network Trust El£$