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IDAM 2014 Call for Papers

 Deadline: August 31, 2014) Selected papers for SC (SCI)

 

IDAM 2014 Call for Papers

 

The 4th International Workshop on Intelligent Data Analysis and Management (IDAM 2014) December 810, 2014, Kaohsiung, Taiwan

http://www.iiwas.org/conferences/momm2014/idam2014

 

In Conjunction with

The 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014) December 810, 2014, Kaohsiung, Taiwan http://www.iiwas.org/conferences/momm2014/

 

Journal Special Issue:

Selected papers presented at IDAM2014, after further extensions and revisions, will be recommended for possible publication in a special issue of Soft Computing journal (Indexed by SCI).

 

Important Dates:

Submission Deadline (Extended): August 31, 2014 Author Notification:

September 22, 2014 Author Registration: October 10, 2014 Conference Dates:

December 8-10, 2014

 

Workshop Themes:

Data analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets [Wikipedia]. Data analysis and data management both have multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.

Intelligent Data Analysis

and Management (IDAM) examines issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

 

The goal of IDAM 2014 is to gather people from previously disparate communities to provide a stimulating forum for exchange of ideas and results. We invite academic researchers (in information technologies, computer science, business and organizational studies, social studies), as well as information technology companies, industry consultants and practitioners in the fields involved. IDAM 2014 will be held in Kaohsiung, Taiwan.

 

Scope and Interests:

The scope of IDAM 2014 includes, but is not limited to, the following

topics:

Benchmarking and performance evaluation Data analytics Data cleaning, integration, and provenance Data mining and knowledge discovery Data models, semantics, and query languages Data privacy and security Data streams and sensor networks Data visualization Database monitoring and tuning Databases for emerging hardware Distributed and parallel databases Indexing and physical database design Information extraction Information retrieval and text mining Mobile databases Modeling approximation and uncertainty in databases Query processing and optimization Scientific databases Semi-structured data Service-oriented computing and cloud data management Social networks and graph databases Storage systems Transaction management

 

Paper Submissions:

We invite two types of submissions: Full Papers and Short Position Papers.

A Full Paper should provide solid conceptual and theoretical foundation and substantial support for its results and conclusions as a significant contribution to the field.

A Position Paper is not expected to be theoretically or empirically thorough, but represents an earlier stage of work. Exceptional quality papers will also be invited for further extension, and be considered for publication on journals.

Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal, conference, or workshop with proceedings. All submissions will be thoroughly peer-reviewed by multiple reviewers to ensure quality and unbiased comments. Accepted papers will appear in the conference proceedings to be published by ACM.

Papers must be submitted electronically in PDF through the conference website.

Format requirements for submissions of papers are:

- Full paper: Maximum 6 pages, plus max 2 paid pages

- Short paper: Maximum 4 pages

- All submissions should be formatted according to ACM guidelines

(http://www.acm.org/sigs/publications/proceedings-templates)

- Submissions must be entered into the Submission System

(https://www.easychair.org/conferences/?conf=momm2014)

 

Venue:

This workshop will take place at National University of Kaohsiung, Taiwan

 

Workshop Co-Chairs (In alphabetical order):

Tzung-Pei Hong - National University of Kaohsiung, Taiwan Hung-Yu Kao - National Cheng Kung University, Taiwan Wen-Yang Lin - National University of Kaohsiung, Taiwan Derrick, I. H. Ting - National University of Kaohsiung, Taiwan Leon S.L. Wang - National University of Kaohsiung, Taiwan Hsin-Chang Yang - National University of Kaohsiung, Taiwan

 

Program Committee:

Ajith Abraham - Machine Intelligence Research Labs, USA Damminda Alahakoon Deakin University, Australia Chien-Chung Chan - University of Akron, USA Been-Chian Chien - National University of Tainan, Taiwan Ping-Tsai Chung - Long Island University, USA Saman Halgamuge - University of Melbourne, Australia Han-Wei Hsiao - National University of Kaohsiung, Taiwan Yun Sing Koh - The University of Auckland, New Zealand Tsau-Young Lin - San Jose State University, USA Pawan Lingras - Saint Marys University, Canada Victor Lu St Johns University, USA Javier Bajo Perez - The Technical University of Madrid (UPM), Spain Shusaku Tsumoto - Shimane University, Japan Da-Jin Wang - Montclair State University, USA Katsutoshi Yada - Kansei University, Japan Qiangfu Zhao - University of Aizu, Japan Haibin Zhu - Nipissing University, Canada Mihai Horia Zaharia Gheorghe Asachi Technical University, Romania

 

Contact:

For further information about IDAM 2014, please contact Prof.  Wen-Yang Lin

E-mail: wylin@nuk.edu.tw