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ICCSS 2010 : 2010 The International Conference on Computational and Statistical Science (ICCSS 2010)


When Jun 11, 2010 - Jun 13, 2010
Where Manila
Submission Deadline Feb 15, 2010
Categories    computational   statistical   science

Call For Papers

Computational Methods, Algorithms and Applications
Computational Biology and Bioinformatics
Computational Chemistry
Computational Physics
Computational Geometry
Computational Medicine and Bioengineering
Geographical Information Systems
Computer Modeling and Simulation
Financial and Economical Modeling
Computational Fluid Dynamics
Computational Electromagnetics
Computational Solid Mechanics and Material
Computational fluid dynamics and mechanics
Intelligent, Bioinspired and Autonomic Computing
Distributed and Parallel Computing
Distributed Database and Data Mining
Grid, P2P, Web Services and Internet Computing
Mobile Computing and Wireless Communications
HPC Applications
Scientific and Engineering Computing
Embedded and Ubiquitous Computing
Advanced Networking and Applications
Security, Privacy and Trust
Education in Computational Scientific and Engineering

Information Systems and Information Technologies
Information Retrieval
Scientific Databases
Risk Analysis
Reliability Engineering
Software Engineering
Biometric technologies
Data mining
Web-based Computing
Knowledge-based Systems
Artificial Intelligence
Internet Computing

Statistical Methods, Algorithms and Applications
Applied Statistics
Biostatistical Design
Business Intelligence
Categorical Data Analysis
Classification and Discrimination
Computational Bayesian Methods
Computational Econometrics
Computational Methods for Industry
Computational Methods in Official Statistics
Computational Statistics in Finance
Data Mining
Design of Experiments
Dimensionality Reduction
Distribution Theory in Statistics
Environmental and Ecological Statistics
Functional Data Analysis
Graphics and Data Visualization
Image and Signal Processing
Imprecise Data and Fuzzy Methods
Internet Based Methods
Machine Learning
Matrix Computations and Statistics
Metadata and Data Representation
Microarray Data Analysis
Multivariate Data Analysis
Multivariate Statistical Methods
Neural Networks and Genetic Algorithms
Nonparametric Statistics and Smoothing
Optimization Algorithms
Partial Least Squares
Pattern Recognition
Resampling Methods
Software Evaluation
Spatial Statistics
Statistic modeling and Monte Carlo methods
Statistical Databases
Statistical Education and Web Based Teaching
Statistical Genetics
Statistical Inference
Statistical Matching and Data Imputation
Statistical Methods for Market Analysis
Statistical Musicology
Statistical Software
Support Vector Machine
Symbolic Data Analysis
Textual Data Analysis and Information Retrieval
Time Series Analysis
Web Mining

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