The Third International Conference on Computational Intelligence in Data Mining (ICCIDM-2016), will be organized by School of Computer Engineering, Kalinga Institute of Industrial Technology University (KIIT), Bhubaneswar, Odisha, India, during 10-11 December,2016. This conference aims to explore the current trends in the modern era of the engineering by inviting the pioneer researchers, scientists, industrialists, academicians and the students to exchange and share their theories, methodologies, experiences, true impressions of research, innovative thoughts of design and implementation, along with the applications in all areas of all engineering disciplines.
For Details please visit http://www.iccidm.in
CALL FOR PAPER
Original High-quality papers in all the following topic of interest (but are not limited) are solicited. The papers exploring new directions will receive especially careful and supportive reviews. .
Track-1: Advance Computational Intelligence Techniques:
Pattern Analysis and Mining, Graphical Models, Spatial & Temporal Mining, Abnormality & Outlier Detection, Selection and Dimension Reduction, Mining with Constraints, Data Cleaning & Preprocessing, Computational Learning Theory, Novel Data Mining Algorithms, Big Data, Mining with Data Clouds, Mining Semi-Structured Data, Mining Complex Datasets, Mining on Emerging Architectures, Text & Web Mining, Optimization Methods, Time Series and Sequential Pattern Mining, Visual data mining, Statistical foundations for robust and scalable data mining, Distributed data mining, Mining multi-agent data, Association rules, Audio Mining, Case-based reasoning and learning, Inductive learning including decision tree and rule induction learning, Statistical learning, Bayesian Models and Methods..
Track-2: Computation with Modeling:
Soft Computing, Ubiquitous Computing, Agent Based Systems, Green Computing, Pattern Recognition, Bioinformatics & Scientific Computing, Embedded Computing, Pervasive Computing, Cluster Computing , Digital Image Computing, Evolutionary Computing, Fuzzy Computing, Approximate Algorithms, Bioinspired Optimization, Web Mining, Perceptual Computing, Image Segmentation, Memetic Computing, Computer Vision & Image Processing, Emotional Computing, Rough Sets Theory, Autonomous Computing, High performance implementations of data mining algorithms, Soft computing (including neural networks, fuzzy logic, evolutionary computation) and Uncertainty management for data mining, Soft Computing approaches for software Engineering (Software cost estimation/Time estimation/Project Scheduling)..
Track-3: Nature Inspired Computation and Neural Networks :
Brain Machine Interface, Surface Computing, Evolutionary Algorithms, Graph theory Applications, Statistical computing, Soft computing, Swarm Intelligence, Artificial Immune System, Support Vector Machine, Artificial Neural Networks, Extreme Learning Machines, Hybrid Intelligent Systems, Genetic Algorithms, Pattern Recognition and Classification, Uncertainty Analysis, Content-Based Image Retrieval, High performance and Parallel/distributed data mining, Advance Optimization techniques..
Track-4: Advance Engineering Applications with Management :
Knowledge Management & Discovery, Natural Language Processing, Cognitive Science, Internet Computing, Cybernetics Technology, Nanotechnology, Climate/Environmental Science, Risk & Supply Chain Management, Drug Discovery, Healthcare Management, Automation & Process Control, Logistics Management, Computational finance, Intrusion & Fraud detection, Bio-surveillance, Sensor Network Applications, Social Network Analysis, Intelligence Analysis, Body Area Network, Remote Sensing & GIS Application, Steganography & Authentication, Data Privacy Preserving Techniques, Data / Image Compression; Digital Image Processing; Image / Video Coding and Transmission; Image Enhancement, Formation, Restoration; Multimedia Applications; Spatial Applications; Satellite Imagery analysis;Multispectral image analysis; Non-evasive quality control using imaging techniques; Medical image analysis; Image and Pattern analysis; Image Segmentation; Computational Biology and Bio-Informatics; Biomedical imaging and Sensing; Bio-Technology, Cyber-Physical Systems; Computational methods in NanoScience, Quantum Computing; Simulation and Modeling; Environment & Weather study and Forecasting; Management and Social Sciences; Commercial and Business applications, Disaster Management.
Track-5: Other Data Mining Applications:
Data Mining in Logistics, Medicine Data Mining, Military Data Mining, Security Data Mining, Immersive virtual reality, Explorative and visual data mining, Data mining in electronic commerce, Data Integration & Exchange, Image Processing and Segmentation, Robotics, Social impact of data mining Acoustic imaging; Audio video System; Biometrics; Computational applications in Electrical, Mechanical, Aerospace, Naval, Marine, Civil engineering; Computational research in Physics, Chemistry, Biology, Agricultural sciences, Minerals, Metals and Material Sciences, Statistical methods in data mining, 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. .
Full Paper Submission Open 15th March 2016
Full Paper Submission Deadline 1st July 2016
Acceptance Notification 25th July 2016
Final Camera Ready Paper with Registration 25th July 2016 – 01st August 2016
Date of Conference 10th & 11th Dec 2016.
Dr. Prachet Bhuyan
Organizing Chair, ICCIDM -2016