Conference Code: 16IT11ICDM
Conference Aims and Objectives
The ICDM 2016: 18th International Conference on Data Mining
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Data Mining. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Data Mining.
Call for Contributions
All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Data Mining are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET
All submitted conference papers will be blind peer reviewed by three competent reviewers. The post conference proceedings will be abstracted and indexed in the International Science Index
, and submitted to be indexed in the
, Scopus and Thomson Reuters. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk.
Special Journal Issues
has teamed up with the Special Journal Issue on Data Mining
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form
|Abstracts/Full-Text Paper Submission Deadline
||September 25, 2016
|Notification of Acceptance/Rejection
||September 30, 2016
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||October 7, 2016
||November 7 - 8, 2016
Please ensure your submission meets WASET's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning MethodDalin Si, Azizan Aziz, Bertrand Lasternas 2) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented GradientZiad Abdallah, Mohamad Oueidat, Ali El-Zaart 3) Dynamic Shear Energy Absorption of Ultra-High Performance ConcreteRobert J. Thomas, Colton Bedke, Andrew Sorensen 4) Application of Data Mining Techniques for Tourism Knowledge DiscoveryTeklu Urgessa, Wookjae Maeng, Joong Seek Lee 5) Hybrid Adaptive Modeling to Enhance Robustness of Real-Time Optimization Hussain Syed Asad, Richard Kwok Kit Yuen, Gongsheng Huang 6) Sensitivity Analysis during the Optimization Process Using Genetic AlgorithmsM. A. Rubio, A. Urquia 7) Fake Account Detection in Twitter Based on Minimum Weighted Feature setAhmed El Azab, Amira M. Idrees, Mahmoud A. Mahmoud, Hesham Hefny 8) The Application of Data Mining Technology in Building Energy Consumption Data AnalysisLiang Zhao, Jili Zhang, Chongquan Zhong 9) Questions Categorization in E-Learning Environment Using Data Mining TechniqueVilas P. Mahatme, K. K. Bhoyar 10) SMART: Solution Methods with Ants Running by TypesNicolas Zufferey 11) Cost Sensitive Feature Selection in Decision-Theoretic Rough Set Models for Customer Churn Prediction: The Case of Telecommunication Sector CustomersEmel Kızılkaya Aydogan, Mihrimah Ozmen, Yılmaz Delice 12) Knowledge-Driven Decision Support System Based on Knowledge Warehouse and Data Mining by Improving Apriori Algorithm with Fuzzy LogicPejman Hosseinioun, Hasan Shakeri, Ghasem Ghorbanirostam 13) Data Mining Approach for Commercial Data Classification and Migration in Hybrid Storage SystemsMais Haj Qasem, Maen M. Al Assaf, Ali Rodan 14) A Relationship Extraction Method from Literary Fiction Considering Korean Linguistic FeaturesHee-Jeong Ahn, Kee-Won Kim, Seung-Hoon Kim 15) Predication Model for Leukemia Diseases Based on Data Mining Classification Algorithms with Best AccuracyFahd Sabry Esmail, M. Badr Senousy, Mohamed Ragaie
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