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CFC-Data Analytics/Smart Cities 2017 : Call for Chapters (Taylor & Francis): Data Analytics Applications for Smart Cities

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When Mar 20, 2017 - Nov 30, 2017
Where N/A
Abstract Registration Due May 15, 2017
Submission Deadline Sep 1, 2017
Notification Due Oct 1, 2017
Final Version Due Nov 15, 2017
Categories    data analyticts   smart cities   cyber-physical systems   big data
 

Call For Papers

A New Book from Auerbach/CRC Press:

"DATA ANALYTICS APPLICATIONS FOR SMART CITIES"

Editors:
Dr. Amir H. Alavi, Department of Civil and Environmental Engineering, University of Missouri, Columbia, USA. Email: alavia[at]missouri.edu; ah_alavi[at]hotmail.com
Dr. William G. Buttlar, Department of Civil and Environmental Engineering, University of Missouri, Columbia, USA. Email: buttlarw[at]missouri.edu

Scope and Aims:
Development of Smart Cities will be one the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for Smart Cities. Our next generation Smart Cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Arguably, Data Analytics technologies play a key role in tackling this challenge. Data Analytics applications involves collecting, integrating, and preparing time and space dependent data produced by sensors, complex engineered systems and physical assets, followed by developing and testing analytical models to verify the accuracy of the results. This is a multidisciplinary area including several paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, expert systems, etc. Moreover, it embraces the fairly new concept of “Big Data Analytics” for the interpretation of Smart Cities massive data with an expected global market of USD 123.2 billion by 2025. The intent of this book is to invite scholars, researchers, engineers and other innovators to collectively display their state-of-the-art knowledge and their cutting-edge innovations in the area of integrating Advanced (Big) Data Analytics systems into Smart Cities along with complementary technological paradigms such as Cloud Computing and Internet of Things (IoT).

In particular, contributions in the following themes are welcome:
• Innovative Algorithms, Software Solutions and Methodologies for Collection, Processing and Fusion of (Big) Data in Smart Cities
• New Tools and Methods for Deploying and Managing Uncertainty and Risk in (Big) Data in Smart Cities
• Data-Driven Optimal Planning and Scheduling in Smart Cities
• Integrating (Big) Data Analytics with IoT and Cloud Computing Technologies
• (Big) Data Analytics and Cyber-Physical Systems (CPS)
• Real-Time Sensor Data Analysis in Smart Cities
• Data Quality Management for in Smart Cities


Topics of interest in Data Processing include, but are not limited to:
• Data Mining
• Pattern Recognition
• Machine Learning
• Classification
• Cluster Analysis
• Data Fusion and Integration
• Time Series Analysis
• Visualization
• Ensemble Learning
• Optimization
• Predictive Modeling
• Signal Processing
• Spatial Analysis
• Outliers Identification
• Missing Data Imputation

This book will serve as a reference for researchers and engineers in domains of advanced computation, optimization and data mining for Smart Cities and Cyber-Physical Systems. Submissions should consider the practical application of Data Analytics for Smart Cities through industry case studies, case surveys, experiments, and empirical validation.

Timetable:
Call for papers: March 2016
Deadline for submission of abstract*: May 15, 2017
Deadline for submission of manuscripts: September 1, 2017
Review period: September 1-October 1, 2017
Revision and re-review (if required): November 15, 2017
Final compilation and submission of Editorial/Introduction: December 31, 2017
Publication of the book: June 2018

*Tentative abstract, along with title, authors’ names and their affiliation, should be emailed to one of the editors with title of “New Submission for Data Analytics/Smart Cities”.

Publisher: Auerbach/CRC Press
Data Analytics Applications Book Series Editor: Dr. Jay Liebowitz, Harrisburg University of Science and Technology, Harrisburg, PA, USA.



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