ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

IDEAL 2014 - 15th International Conference on Intelligent Data Engineering and Automated Learning

Date2014-09-10 - 2014-09-12

Deadline2014-04-04

VenueSalamanca, Spain Spain

Keywords

Websitehttps://ideal14.usal.es

Topics/Call fo Papers

The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analysis, data mining and their associated learning systems and paradigms. After recent successful events, IDEAL 2013 (Hefei, Anhui), 2012 (Natal), 2011 (Norwich), 2010 (Paisley), 2009 (Burgos), 2008 (Daejeon) and 2007 (Birmingham), the 15th International Conference, IDEAL 2014, will be held from 10th to 12th September 2014, in Salamanca, Spain. This conference provides an opportunity and stimulating forum to present and discuss the latest theoretical advances and real-world applications in computational intelligence and intelligent data analysis. Authors and special session organisers are warmly invited to submit their latest findings and research work to the conference.
Topics
Learning and Information Processing
Machine Learning
Neural Networks
Emergent Systems
Probabilistic Learning
Clustering and Classification
Feature Selection and Extraction
Information Fusion
Evolutionary Computation
Fuzzy Logic
ApplicationsBio/Neuro-informatics and Bio-Inspired Models
Data Mining, Retrieval and Management
Rule-based Systems
Content-based Retrieval Systems
Text and Web Mining
foMultivariate Data Visualisation
Internet and Multimedia Databases
Knowledge Discovery and Retrieval
Data Warehouse and E-organisations
Image/Video Analysis and Retrieval
Speech and Signal Processing
Medical Diagnosis and Databases
Bio/Neuro-informatics and Bio-inspired models
Protein Structural Prediction
Gene Expression Data Analysis
Metabolomics and Pathway Analysis
Bioinformatics Tools and Intelligent Decision Making Systems
Molecular Data Management
Novel Bioinformatics Algorithms
Neuroinformatics
Bio-inspired Computing Models
Cognitive Learning and Memory
Systems Biology
Computational Neuroscience
Agents and Hybrid Systems
Multi-agents Systems
Autonomous Agents
Agent Architectures and Protocols
Collaborative and Collective learning
Self-Organising Systems
Reconfiguration Systems
Hybrid Systems and Applications
Fuzzy Neural Systems and Applications
Swarm Intelligence and Systems
Financial Engineering
Electronic Commerce
Portfolio Management
Risk Analysis and Management
Fraud Detection
Modelling and Forecasting
Volatility and Trading Strategies

Last modified: 2014-01-23 00:53:22