International Conference on Data Mining & Information Technology
6-9 May 2017 Bahrain
The conference is a part of a series of conferences dedicated to bringing top scientists and technologists to the highest international standard, raise awareness of governments and industry to the importance and excitement of new research and development in technologies, and engender collaborations and research exchanges.
The International Conference on Data Mining & Information Technology provides a forum for researchers who address this issue. Authors are solicited to contribute to the conference by submitting their work that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas;
Topics of Interest Include, but are not limited to:
Medical Data mining:
Statistical analysis and characterization of healthcare data, Text mining - mining free text in electronic medical records, Visual analysis and exploration of longitudinal clinical trial data, Meaningful use of healthcare data for improved patient care and cost-reduction, Data quality assessment and improvement: preprocessing, cleaning, missing data treatment etc., Medical fraud detection.
Economic Data mining:
Credit scoring, Stock market forecasting, Economic trends
Data Mining Foundations:
Parallel and Distributed Data Mining Algorithms, Data Streams Mining, Graph Mining, Spatial Data Mining, Text Video, Multimedia Data Mining, Web Mining, Pre-processing Techniques, Visualization, Security and Information Hiding in Data Mining.
Data Mining Applications:
Databases, Bioinformatics, Biometrics, Image Analysis, Financial Modeling, Forecasting, Classification, Clustering, Social Networks, Educational Data Mining.
Data and Knowledge Representation, Knowledge Discovery Framework and Process, Including Pre- and Post-processing, Integration of Data Warehousing, OLAP and Data Mining, Integrating Constraints and Knowledge in the KDD Process , Exploring Data Analysis, Inference of Causes, Prediction, Evaluating, Consolidating, and Explaining Discovered Knowledge, Statistical Techniques for Generation a Robust, Consistent Data Model, Interactive Data Exploration/visualization and Discovery, Languages and Interfaces for Data Mining, Mining Trends, Opportunities and Risks, Mining from Low-Quality Information Sources.
Authors are invited to submit an abstract through the conference Abstract Submission. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference
Selected papers after further revisions, will be recommended for publication in the following journals
- Submission Deadline : Mar 01, 2017
- Authors Notification : Apr 01, 2017
The Registration Fees are $500