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Call for Book Chapters
Big Data: Technologies, Techniques & Tools
Proposal Submission Deadline:
Feb. 15, 2015
Notification of Acceptance:
Mar. 15, 2015
Full Chapter Submission:
Aug. 15, 2015
Review Results Returned:
Sep. 30, 2015
Final Acceptance Notification:
Oct. 30, 2015
Final Chapter Submission:
Nov. 15, 2015
Proposal Submission Deadline: Feb. 15, 2015
1-2 pages including abstract, chapter objectives and chapter outlines with Microsoft Word or Adobe PDF format. Submit to drmks.singh@gmail.com with the subject title as: “Big Data: Technologies, Techniques & Tools - Chapter Proposal".
Full Chapter Submission Deadline: Aug. 15, 2015
Book Editors
Editor-in-Chief: Dr. Manoj Kumar Singh
Department of Computing, School of Engineering, Adama Science & Technology University, Adama, Ethiopia, Africa.
Email: drmks.singh@gmail.com
Description
The term Big Data is used almost anywhere these days; from news articles to professional magazines, from tweets to YouTube videos and blog discussions. The term "Big Data" refers to a wide range of large data sets almost impossible to manage and process using traditional data management tools—due to their size, but also their complexity. Big Data can be seen in the finance and business where enormous amount of stock exchange, banking, online and onsite purchasing data flows through computerized systems every day and are then captured and stored for inventory monitoring, customer behavior and market behavior. It can also be seen in the life sciences where big sets of data such as genome sequencing, clinical data and patient data are analyzed and used to advance breakthroughs in science in research. Other areas of research where Big Data is of central importance are astronomy, oceanography, and engineering among many others. The leap in computational and storage power enables the collection, storage and analysis of these Big Data sets and companies introducing innovative technological solutions to Big Data analytics are flourishing. This book is providing cross-disciplinary inventive & ground-breaking research ideas and applications results for Big Data including novel theory, algorithms and applications. It also aims to provide platform and establish an effective channel of communication between researchers, academics, government agencies, industries research institutions and persons concerned with the complexity of Big Data.
Objective of the Book
This “Big Data: Technologies, Techniques & Tools” addresses questions surrounding this powerful and growing field of Big Data and facilitates the efforts of researchers, data scientists, academics, analysts, professionals, business managers, developers, physicists, statisticians, administrators and policymakers to improve operations, prosperity, and interactions within their institutions and businesses. Spanning a broad array of disciplines focusing on novel Big Data technologies, policies, innovations and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, social networks, education, applied mathematics, physical science, medicine, computational biology, healthcare, finance, business, government, telecommunications and transportation. This book provides a vehicle for disseminating the latest research, applications, Knowledege and more in one place related to Big Data. Big Data is an emerging area which has only recently caught the attention of researchers. The best way to capture the current research activity and to set the perspectives and challenges in this field is by selecting high quality work from different worldwide invited researchers, in the form of chapters of a book. This book will feature 25-40 chapters. These chapters will be authored by leading experts offering an in-depth description of key terms and concepts related to different areas, issues, trends, innovations and applications in Big Data.
Target Audience
This book would serve a broad audience including researchers, academicians, students, practitioners and working professional in the field of Big Data. This publication will be distributed worldwide among academic and professional institutions and will be instrumental in providing researchers, scholars, students and professionals’ access to the latest knowledge related to Big Data. Contributions to this important publication will be made by scholars throughout the world with notable research portfolios and expertise.
Recommended topics include, but are not limited to the following:
Introduction to Big Data, Architectures of Big Data, Models and Algorithms of Big Data, Big Data Analytics, Big Data Management, Integration of Big Data, Big Data Mining, Security of Big Data, Big Data Visulisation, Protection of Big Data, Intergity of Big Data, Privacy of Big Data, Big Data Governance, Big Data and Industries, Big Data & Enterprise, Big Data & Society, Big Data Quality, Big Data & HPC, Big Data & Mobile Computing, Big Data & Cloud Computing, Big Data applications, Big Data Use Cases, Big Data Science & Foundations, Software & Tools for Big Data, Intelligence & Scientific Discovery Methods in Big Data, Software, Hardware and Algorithm Co-design of Big Data, Large-scale Recommendation Systems & Graph Analysis, Algorithmic, Experimental, Prototyping & Implementation, Algorithmic, Experimental, Prototyping & Implementation, Data Intensive Computing Theorems & Technologies Modelling, Simulation & Performance Evaluation, Hardware & Infrastructure, Green Data Centres/Environmental-friendly Perspectives, Computing, Scheduling and Resource Management for Sustainability, Complex Applications in areas where massive data is generated, Big Data as a Service, Big Data Open Platforms, Big Data in Mobile and Pervasive Computing, Big Data Persistence and Preservation, Big Data Quality and Provenance Control, Management Issues of Social Network Big Data, Big Data Encryption, Anomaly Detection in Very Large Scale Systems, Collaborative Threat Detection Using Big Data Analytics, Algorithms and Systems for Big Data Search, Distributed, and Peer-to-peer Search, Machine Learning Based on Big Data, Visualization Analytics for Big Data, Big Data Economics, Real-life Case Studies of Value Creation through Big Data Analytics, Big Data Toolkits, Big Data in Business Performance Management, ME-centric Big Data Analytics, Scientific Applications of Big Data, Big Data in Smart Planet Solutions, Big Data for Enterprise Transformation, Big Data Infrastructure, Semantic Retrieval of Multimedia Big Data, Multimedia Big Data systems, Big Data Application in Real World, Big Data Computing and Service, Big Data Scalable Computing Models, Theories & Algorithms, Big Data Computing Service Businesses, Billing, Protocols, APIs, Big Data Validation, Certification, and Quality Assurance, Big Data Sharing and Access Protocols, Methods, Processes, and Platforms and Technologies, Big Data Intelligence and Knowledge Engineering, Big Data Center and Enable Technologies, Big Data Management and Deployment Systems and Solutions, New Big Networking Infrastructure, Systems, and Protocols, Big Data Collection Sensors, Networks, Devices, and Solutions, Green Computing for Big Data, Big Data Information Banking, Energy and Environment, Bio-Medical and Healthcare Services, Big Data Education and Learning, Multi-media and Social Networking, Survey/Review Reports on Big Data Computing, Services, and Engineering, Industry and Government Experience Reports on Big Data Projects and Applications, Application Case Studies, Collaboration or Co-design of Data Analysis with Domain Scientists, Topics in Cognitive Issues Specific to Manipulating and Understanding Large Data.
Submission Procedure
Researchers and practitioners are invited to submit on or before February 15, 2015, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by March 15, 2015 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by August 15, 2015. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publisher
This book is scheduled to be published by Science Publishing Group and it is anticipated to be released in 2015.
Inquiries
If you have any inquiries about this program, please contact Dr. Manoj Kumar Singh: drmks.singh@gmail.com
ADDRESS
Science Publishing Group
548 FASHION AVENUE
NEW YORK, NY 10018
U.S.A.
Tel: (001)347-688-8931