Although data mining is a relatively new term, the technology is not. Data mining is primarily used today by companies with powerful computers to sift through volumes of supermarket scanner data and analyse market research reports.
It allows these companies – retail, financial, communication and marketing organisations – a strong consumer focus, and enables them to determine impacts on sales, customer satisfaction and corporate profits. Power, disk storage and statistical software are dramatically increasing the accuracy of analysis while driving down cost.
This special issue aims to provide an in-depth presentation of relevant recent advances in methodologies, algorithms theories and applications related to data mining.
Suitable topics include but are not limited to:
- Text analytics
- Fraud detection
- Data visualisation
- Predictive modelling
- Data optimisation
- Classes
- Technological infrastructure
- Clusters
- Associations
- Sequential patterns
- Artificial neural networks
- Genetic algorithms
- Decision trees
- Nearest neighbour method
- Rule induction
- Data visualisation
- Storing and managing data
- Presenting data
- Application software for analysing data
Important Dates
Submission deadline: 30 October, 2013
Acceptance/rejection notification: 30 November, 2013
Final paper due: 20 December, 2013
No comments:
Post a Comment