FYI
---------- Forwarded message ---------- From: Kuan-Ching Li <[email protected]> Date: Sat, Jul 12, 2014 at 9:42 AM Subject: [DistComp] Call for Book Chapters "Big Data and the Internet of Things: Technology, Business, and Social Impact" To: Call for Book Chapters "Big Data and the Internet of Things: Technology, Business, and Social Impact" CRC Press, Taylor & Francis Group, USA https://sites.google.com/site/bigdatatbsi/ *Chapter proposal due: October 15, 2014* Editors Kuan-Ching Li,Providence University, Taiwan Yunchuan Sun, Beijing Normal University, China Hai Jiang, Arkansas State University, USA Antonio Jara, University of Applied Sciences Western Switzerland (HES-SO), Switzerland Laurence T. Yang, St. Francis Xavier University, Canada With the introduction and vast development of Internet of Things, these tiny identifying devices have transformed daily life. As consequence, the amount of Data being generated is at exponential rate all over the world. Mining and analyzing these big data can give rise to a lot of useful information and patterns, which fosters a key basis of the business intelligence and propels the society forward. As with any advancement, Big data comes with both opportunities and challenges. Big data challenges involves in three aspects: 1) technology challenges include how to model and manage the big data with features of volumes, diversity and heterogeneity, how to process, analyze, and mine the potential patterns from big data, how to share and manage the data, and how to ensure the security and the privacy for big data; 2) business challenges include how to transform business using the big data, how to find novel business models for big data, and how to evaluate the benefits and costs of big data—so called big data economy; 3) social challenges include how to analyze and evaluate the social influences from the big data, how to keep the social justice using big data, and etc. It’s the time for us to re-think about and figure out what to do with the new challenges. Through evolving algorithmic and analytic techniques, organizations can harness the big data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantages. This book intends to cover algorithmic and methods discussions, topics to build better analytics to gather data and applications in diverse fields such as Medicine, Science, Business, Finance, Social, and Engineering. This book aims at investigating the current advancing of the big data from the above three aspects of challenges, through major subtopics: Engineering - Big data modeling and management - Big data mining and analytics - Semantic techniques for big data - Relationship between ‘small data’and big data - Big data intelligence and predictive analytics - Managing large-scale big data platforms - Security and privacy issues for big data Platforms and Data - Models for big data - Tools and frameworks for big data - Heterogeneous data integration - Linked Open Data - Reference Data Sets - Open Source solutions Business - Transforming business using big data - Business models on Big Data applications - Social media analysis, including sentiment analysis - Accommodating new demands on network infrastructure - Big Data economy and social impact Applications - Human Dynamics and Social Networks - Smart Cities - Internet of Things - Smart Grid and Energy - Multimedia and entertainment Proposal submission A proposal for a book chapter is needed from prospective authors before the proposal submission due date, describing the goals and scopes of the proposed chapter. Acceptance of chapter proposals will be communicated to leading authors after a formal double-blind review process. The submission of chapter proposals should be sent directly via email to Editors. Important Dates Proposal Submission: October 15, 2014 Proposal Acceptance: November 15, 2014 Sample Chapter Submission: January 15, 2015 Final version of Chapters: April 1, 2015 Publication Time: Q4/ 2015 Additional Information Inquiries and submissions can be forwarded electronically by email to [email protected] _______________________________________________ distributed-computing-announce mailing list [email protected] http://datasys.cs.iit.edu/mailman/listinfo/distributed-computing-announce -- Shiroshica Kulatilake Architect, WSO2, Inc. http://wso2.com/ Phone: +94 776523867
_______________________________________________ Dev mailing list [email protected] http://wso2.org/cgi-bin/mailman/listinfo/dev
