CIDM 2014 - IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014)
Date2014-12-09 - 2014-12-12
Deadline2014-06-15
VenueFlorida, USA - United States
Keywords
Websitehttps://www.ieee-ssci.org/
Topics/Call fo Papers
IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2014) will bring together scientists, engineers and students from around the world to discuss the latest advances in the field of computational intelligence applied to issues in data and process mining. This conference will provide a forum for the presentation of recent results in data mining algorithms, applications, software and data and process mining systems.
Topics
Some of the topics covered include applications of computational intelligence technologies, such as neural networks, graphical models and fuzzy systems for data modeling and data understanding, new approaches for handling uncertainty, evolutionary computation and other emerging optimization techniques in the following or similar areas:
CI/probabilistic/statistical and other methods
Data understanding, rule extraction, logical models
Feature extraction, selection, aggregation, construction
Multimedia data mining, recognition and interpretation of image and video sequences
Mining of signals and data streams
Mining spatial and spatio-temporal data
Mining of very large datasets, scalability
Text, graph and web mining
Meta-learning, predictive data mining
Visual data mining
Process Mining
Medical Data Analysis
Case studies
Applications to biometrics, biomedicine, chemistry, drug design, e-commerce, engineering, finance and marketing research, intelligence, industry, remote sensing, scientific data mining, security, sensory networks and others.
Topics
Some of the topics covered include applications of computational intelligence technologies, such as neural networks, graphical models and fuzzy systems for data modeling and data understanding, new approaches for handling uncertainty, evolutionary computation and other emerging optimization techniques in the following or similar areas:
CI/probabilistic/statistical and other methods
Data understanding, rule extraction, logical models
Feature extraction, selection, aggregation, construction
Multimedia data mining, recognition and interpretation of image and video sequences
Mining of signals and data streams
Mining spatial and spatio-temporal data
Mining of very large datasets, scalability
Text, graph and web mining
Meta-learning, predictive data mining
Visual data mining
Process Mining
Medical Data Analysis
Case studies
Applications to biometrics, biomedicine, chemistry, drug design, e-commerce, engineering, finance and marketing research, intelligence, industry, remote sensing, scientific data mining, security, sensory networks and others.
Other CFPs
- IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE 2014)
- IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL 2014)
- IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES 2014)
- IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI 2014)
- IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (CIMSIVP 2014)
Last modified: 2013-06-09 21:22:44