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Topics of Interest
Contributed papers are invited on any relevant topic,
including, but not restricted to
Applications & Tools:
- analysis of different kinds of data
(e.g., censored, temporal etc.)
- applications (e.g., commerce, engineering, finance, legal,
manufacturing,
medicine, public policy, science, bioinformatics, biosurveillance)
- assistants, intelligent agents for data analysis evaluation
of IDA systems
- human-computer interaction in IDA
- IDA systems and tools
- information extraction, information retrieval
Theory & General Principles:
- analysis of IDA algorithms
- classification, projection, regression, optimization clustering
- data cleaning
- data pre-processing
- experiment design
- model specification, selection, estimation
- reasoning under uncertainty
- search
- statistical strategy
- uncertainty and noise in data
Algorithms & Techniques:
- Bayesian inference and influence diagrams
- bootstrap and randomization
- causal modeling
- data mining
- decision analysis
- exploratory data analysis
- automated data analysis
- fuzzy, neural and evolutionary approaches
- knowledge-based analysis
- machine learning
- statistical pattern recognition
- visualization
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