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, 14-16 Avril ou 8-10 Septembre 2010, Yverdon-les-Bains, Suisse
Methodological Training in Statistical Data Mining
, June or October 2010, Berne or Basel, Switzerland
Methodological Training in Statistical Data Mining Related to Drug Development
, June or October 2010, Berne or Basel, Switzerland
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Managing Uncertainty to Improve Decision Making: Statistical Thinking for Managers
Methoden für statistisches Data Mining
, 15.-16. Juni 2010, Hamburg, Deutschland
Séminaire de Méthodologie en Data Mining
, 22-23 Juin 2010, Paris, France
Resources
->
Datamining
-> Topics
0 Subfolders
40 Links
AAAI-98 Tutorial: Learning Bayesian Networks From Data
Backpropagator's Review - something of a backprop FAQ
Bibliography on Distributed Artificial Intelligence and Multi-Agent Systems
Boosting Research Site: Boosting.org
Collaborative Filtering
COLT: Computational Learning Theory
Data exploration using self-organizing maps
Data Modeling and Mining: Why Lift?
Description Logics
Forecasting, data mining and systems analysis by Group Method of Data Handling (GMDH) approach
Geographical data mining: key design issues
Heuristics and artificial intelligence in finance and investment
Home of Forecasting with Neural Networks
HUT - CIS - Research - SOM (Self-Organizing Maps)
Knowledge Management Officer Basics
Knowledge Representation
Kohonen Networks
Machine Learning for Information Retrieval: Neural Networks, Symbolic Learning, and Genetic Algorithms
Minimum Description Length (MDL) on the Web
Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling
MODEL-BASED CLUSTERING REFERENCES
Multidimensional Scaling and Distance Geometry
Neural Network FAQ
Neural Network Resources
Neuronale Netze
Principal Component Analysis for clustering gene expression data
Random forests - Leo Breiman and Adele Cutler
Recursive-Partitioning.com -- Supervised & Unsupervised Learning
References "Learning from Unbalanced Data"
References in specific data mining topics
Small Disjuncts
Support Vector Machines
Support Vector Machines - Demonstration
Support Vector Machines - The Book - Support Vector
Sutton & Barto Book: Reinforcement Learning: An Introduction
SVM - Support Vector Machines
The Class Imbalance Problem Bibliography
The Distributed Data Mining Bibliography
The OLAP Report: What is OLAP?
Unsupervised Learning With Random Forest Predictors
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Last updated on August 26, 2006.
www.statoo.com/en/resources/anthill/Datamining/Topics/