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SDMA 2016 : 4rth Symposium on Data Mining Applications (SDMA 2016) | |||||||||||||||
Link: http://www.megdam.org/sdma | |||||||||||||||
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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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