Call for Book Chapters
Big Data: Algorithms, Analytics, and Applications
(Chapman & Hall/CRC Big Data Series)
CRC Press, Taylor & Francis Group, USA
https://sites.google.com/site/
Editors
Kuan-Ching Li,Providence University, Taiwan
Hai Jiang, Arkansas State University, USA
Laurence T. Yang, St. Francis Xavier University, Canada
Alfredo Cuzzocrea, Italian National Research Council & University of
Calabria, Italy
As data sets are being generated at exponential rate all over the
world, Big Data has become an indispensable issue. While organizations
are capturing exponentially larger amount of data than ever these
days, they have to re-think about and figure out what to digest it.
The implicit meaning of data can be interpreted in reality through
novel and evolving algorithms, analytics techniques, and innovative
and effective use of hardware and software platforms so that
organizations can harness the data, discover hidden patterns, and use
newly acquired knowledge to act meaningfully for competitive
advantages.
This book intends to cover fundamental and realistic issues about Big
Data, including efficient algorithmic methods to process data, better
analytical strategies to digest data, and representative applications
in diverse fields such as Medicine, Science and Engineering, seeking
to bridge the gap between huge amount of data and appropriate
computational methods for scientific and social discovery, and to
bring technologies for media/data communication, elastic media/data
storage, cross-network media/data fusion, SaaS, and others together.
It also aims at interesting applications involving in Big Data.
Topics
Topics include, but are not limited to, the follows:
* Big Data Capture
* Big Data Representation: Database vs. Big Table (or key-value pair)
* Storage for Big Data
* Big Data Sharing and Transferring
* Big Data Processing Architecture
* Big Data Visualization
* Data Warehousing and OLAP over Big Data
* Security and Privacy Aspects of Big Data
* Big Data Analytic Algorithms: Cluster Analysis, Pattern Recognition,
Machine Learning, Data/text/image Mining, Statistics
* Big Data Applications: Bioinformatics, Multimedia Industry, Social
Computing, Engineering, Finance, Governance and Business
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: November 30, 2013 (firm date)
Proposal Acceptance: December 20, 2013
Complete Chapter Submission (to editor): March 15, 2014
Submission of Chapters (to publisher): April 15, 2014
Publication Time: Q3/2014 (tentative)
Additional Information
Inquiries and chapter proposal submissions can be forwarded
electronically by email to bigdata-book@googlegroups.com
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Big Data: Algorithms, Analytics, and Applications
(Chapman & Hall/CRC Big Data Series)
CRC Press, Taylor & Francis Group, USA
https://sites.google.com/site/
Editors
Kuan-Ching Li,Providence University, Taiwan
Hai Jiang, Arkansas State University, USA
Laurence T. Yang, St. Francis Xavier University, Canada
Alfredo Cuzzocrea, Italian National Research Council & University of
Calabria, Italy
As data sets are being generated at exponential rate all over the
world, Big Data has become an indispensable issue. While organizations
are capturing exponentially larger amount of data than ever these
days, they have to re-think about and figure out what to digest it.
The implicit meaning of data can be interpreted in reality through
novel and evolving algorithms, analytics techniques, and innovative
and effective use of hardware and software platforms so that
organizations can harness the data, discover hidden patterns, and use
newly acquired knowledge to act meaningfully for competitive
advantages.
This book intends to cover fundamental and realistic issues about Big
Data, including efficient algorithmic methods to process data, better
analytical strategies to digest data, and representative applications
in diverse fields such as Medicine, Science and Engineering, seeking
to bridge the gap between huge amount of data and appropriate
computational methods for scientific and social discovery, and to
bring technologies for media/data communication, elastic media/data
storage, cross-network media/data fusion, SaaS, and others together.
It also aims at interesting applications involving in Big Data.
Topics
Topics include, but are not limited to, the follows:
* Big Data Capture
* Big Data Representation: Database vs. Big Table (or key-value pair)
* Storage for Big Data
* Big Data Sharing and Transferring
* Big Data Processing Architecture
* Big Data Visualization
* Data Warehousing and OLAP over Big Data
* Security and Privacy Aspects of Big Data
* Big Data Analytic Algorithms: Cluster Analysis, Pattern Recognition,
Machine Learning, Data/text/image Mining, Statistics
* Big Data Applications: Bioinformatics, Multimedia Industry, Social
Computing, Engineering, Finance, Governance and Business
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: November 30, 2013 (firm date)
Proposal Acceptance: December 20, 2013
Complete Chapter Submission (to editor): March 15, 2014
Submission of Chapters (to publisher): April 15, 2014
Publication Time: Q3/2014 (tentative)
Additional Information
Inquiries and chapter proposal submissions can be forwarded
electronically by email to bigdata-book@googlegroups.com
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