Algorithms for clustering data
Algorithms for clustering data
Unifying instance-based and rule-based induction
Machine Learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Concept Formation in WWTP by Means of Classification Techniques: ACompared Study
Applied Intelligence
Machine Learning
Machine Learning
Knowledge Discovery with Clustering Based on Rules. Interpreting Results
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Machine learning methods for microbial source tracking
Environmental Modelling & Software
Environmental Modelling & Software
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Improving Pseudobagging techniques
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Dynamic update of data analysis models in emergency systems
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Knowledge discovery with clustering based on rules by states: A water treatment application
Environmental Modelling & Software
Environmental chemistry through intelligent atmospheric data analysis
Environmental Modelling & Software
Predicting the potential habitat of oaks with data mining models and the R system
Environmental Modelling & Software
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Environmental Modelling & Software
Computers and Electronics in Agriculture
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In this work the GESCONDA software is presented. It is a tool for intelligent data analysis and implicit knowledge management of databases, with special focus on environmental databases. Differing from existing commercial systems, the more relevant aspects of this proposal are the incorporation of the statistical data filtering and pre-processing in the same software tool together with the intelligent data analysis techniques as well as the interaction of different data mining methods. Either statistical techniques or artificial intelligence techniques or even mixed techniques are combined and used to extract the knowledge contained within data.