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SDMA 2016 : 4rth Symposium on Data Mining Applications (SDMA 2016)

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Link: http://www.megdam.org/sdma
 
When Mar 30, 2016 - Mar 30, 2016
Where Riyadh, Saudi Arabia
Submission Deadline Jan 1, 2016
Notification Due Feb 15, 2016
Final Version Due Mar 1, 2016
Categories    data mining   machine learning   data bases   big data analytics
 

Call For Papers

Call for Papers

4rth Symposium on Data Mining Applications (SDMA 2016)

March 30, 2016

Prince Megrin Data Mining Center, Prince Sultan University, Riyadh, Kingdom of Saudi Arabia

www.megdam.org/sdma

Prince Megrin Data Mining Center funds and supports research in Data Mining in Kingdom of Saudi Arabia and regional countries. The 4rth Symposium on Data Mining application 2016 provides a unique platform for researchers in industry and academics within Saudi Arabia and Middle East countries to contribute, collaborate and produce the latest research in Data mining applications for regional and global issues. In the absence of any research event allowing students, researchers, practitioners and industry experts to converge in order to discuss, deliberate and work-out possible solutions to regional and local challenges, SDMA 2016 offers the exceptional opportunity to the community. SDMA 2016 will address the topics of interest related to Data Mining and its applications through both, invited and contributed talks, describing, research ideas, new challenges, mature research and practical results. The program will include invited speaker talks, presentations of papers by contributing authors and a forum for graduate students to present their work. Additionally, a panel would be organized to identify and discuss important research problems and applications.

All submitted papers would undergo a blind peer review process with at least two reviews for each paper to determine the originality, novelty and quality of contributions prior to acceptance for publication in symposium proceedings.

The symposium invites original research contributions related to five tracks:
1. Data Mining Applications: Applications of data mining in domains including Parallel and advanced Databases, Social Networks, Web, Bioinformatics, Finance, Healthcare, and Security.
2. Data Mining Foundations and Algorithms: Data Mining and Machine Learning Foundations, algorithms, models, and theory.
3. Text Mining: Semantic Analysis and Mining text in Arabic, semi-structured, spatio-temporal, streaming, graph, web, multimedia data.
4. Frameworks: Data mining frameworks, platforms and systems implementation
5. Visualizations: Data visualization, modelling and recommendation

Prospective Authors are requested to submit:

Full Papers: Authors are invited to submit full-length papers with maximum limit of 6 pages in two column format including diagrams and references. All submissions would undergo blind review process prior to acceptance for publication in Symposium proceedings. Accepted & presented papers will be published in the SDMA 2016 proceedings & submitted to Elsevier Procedia CS as well as other Abstracting & Indexing (A&I) databases. Full details of submission procedures & requirements for authors of accepted papers are available at www.megdam.org/sdma

Tutorial / Poster Papers: Graduate students are encouraged to contribute their work-in-progress papers to the Tutorial/ Poster session. Authors submitting work-in-progress papers are limited to a maximum of 2 pages in the two column format including diagrams and references.

The instructions for authors of tutorial/poster papers will be posted on the symposium website

Best Paper Award: A judge’s panel would recommend best posters for award. Based on the design of the poster, quality of contribution and judges recommendations, award for the best poster paper would be given at the Symposium.

A portion of the accepted papers will be presented as posters. The SDMA 2016 Program Committee will decide which papers will be presented in oral (lecture type) sessions and which papers as posters, the decisions will be announced to the authors. Choice between oral and poster presentations will be totally independent of the review scores and of the paper quality.

Important Dates

Regular Paper Submission: 1 January 2016

Short paper/Poster Submission: 1 February 2016

Notification of Acceptance: 15 February 2016

Camera-Ready and Registration: 1 March 2016

Key Note Speaker: Peter Aiken is acknowledged to be a top data management (DM) authority. As a practicing data consultant, author and researcher, he has been actively performing and studying DM for more than 30 years. His expertise has been sought by some of the world's most important organizations and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his latest the "Case for the CDO" & "Monetizing Data Management" and he hosts the longest running and most successful webinar dedicated to data management (hosted by Dataversity.net). Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU) and past President of the International Data Management Association (DAMA-I).


SDMA 2016 Committees:
Honorary chair: Jarallah Al Ghamdi, Prince Sultan University

Co-Chairs:
Abdul Aziz Al Sehibani, Prince Sultan University
Basit Qureshi, Prince Megrin Data Mining Center

Technical Program Chairs:
Mohammad El Affendi, Prince Sultan University
Ahmed Sameh, Prince Sultan University

Tutorials / Poster Sessions:
Tanzila Saba, Prince Sultan University
Mohamed Tounsi, Prince Sultan University
Mamdouh AlEnezi, Prince Sultan University

Local Arrangements co-chairs
Liaqatunisa Syed, Prince Sultan University
Anis Koubaa, Prince Sultan University

Web Manager
Ahmad Al-Maiman, Prince Megrin Data Mining Center
Yasir Javed, Prince Megrin Data Mining Center

Program Committee Members:
Panos Kalnis, King Abdullah University of Science and Technology, Saudi Arabia
Abdelkrim Doufene, Massachusetts Institute of Technology, USA
Mohammad Zaki, Qatar Computer Research Institute, Qatar
Alexander Gelbukh, National Polytechnic Institute, Mexico
El Alfy El-Sayed, King Fahd University of Petroleum and Minerals, Saudi Arabia
Pedro Henriques Abreu, University of Coimbra, Portugal
Yacine Rebahi, Franhofer fokus, Germany
Sabri Mahmoud, King Fahd University of Petroleum and Minerals, Saudi Arabia
Fikret Gurgen, Bogazici University, Turkey
Adel Al Oraini, Qassim University, Saudi Arabia
Francesco Folino, ICAR C.N.R. Cosenza, Italy
Bandar Al Haqbani, King Saud Bin AbdulAziz University , Saudi Arabia
Muazzam Siddiqi, King Abdul Aziz University, Saudi Arabia
Husni Al Mohtaseb, King Fahd University of Petroleum and Minerals, Saudi Arabia
Lap CHAN, Singapore University of Technology and Design, Singapore
Nor Shehriza, Prince Sultan University, Saudi Arabia
Hassan Ismail Abdullah, King Saud University, Saudi Arabia
Justin Dauwels, Nanyang Technological University, Singapore
Pavel Kromer, Technical University of Ostrava, Czech Republic
Ingrid Fischer, Universität Konstanz, Germany
Muna Saleh Al-Razgan, King Saud University, Saudi Arabia
Stefanos Vrochidis, Centre for Research and Technology, Greece
Arif Bramantoro, Imam University, Saudi Arabia
Tao Ban, National Institute of Information and. Communications Technology, Japan
Zahid Akhtar, University of Udine, Italy

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