Management of Information, Process and Cooperation: Third International Workshop, MiPAC 2016, Hangzhou, China, September 23, 2016, Revised Selected Papers

Management of Information, Process and Cooperation: Third International Workshop, MiPAC 2016, Hangzhou, China, September 23, 2016, Revised Selected Papers

ISBN-10:
981103995X
ISBN-13:
9789811039959
Pub. Date:
03/31/2017
Publisher:
Springer Nature Singapore
ISBN-10:
981103995X
ISBN-13:
9789811039959
Pub. Date:
03/31/2017
Publisher:
Springer Nature Singapore
Management of Information, Process and Cooperation: Third International Workshop, MiPAC 2016, Hangzhou, China, September 23, 2016, Revised Selected Papers

Management of Information, Process and Cooperation: Third International Workshop, MiPAC 2016, Hangzhou, China, September 23, 2016, Revised Selected Papers

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Overview

This book constitutes the refereed proceedings of the Third International Workshop on Management of Information, Process and Cooperation, MiPAC 2016, held in Hangzhou, China, in September 2016. The 8 revised full papers were carefully reviewed and selected from 14 submissions. The papers are organized in topical sections on process modeling, process enactment, and data driven service computing.


Product Details

ISBN-13: 9789811039959
Publisher: Springer Nature Singapore
Publication date: 03/31/2017
Series: Communications in Computer and Information Science , #686
Edition description: 1st ed. 2017
Pages: 111
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Flexible Manufacturing Chain: A SCM for Electronic Commerce Enterprise in Clothing Industry based on Activiti.- Crowdsourcing Complex Task Automatically by Workflow Technology.- An Adaptive Scheduling Mechanism for Analytical Workflow Model.- Monitoring as a Service based on Pub/Sub System over a Cloud Environment.- The Fault Tolerance of Big Data System.- A Market-based Analysis of Bidding Strategy between Web Service Providers and Users.- A lightweight HASH-based mutual authentication prool for RFID 81.- Photovoltaic Power Prediction Model Based on Parallel Neural Network and Genetic Algorithms.

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