discretization method

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Unsupervised Static Discretization Methods in Data Mining

Discretization of real-valued data is often used as a pre-processing step in many data mining algorithms. This paper reviews some important unsupervised discretization methods among which there are the discretization methods based on clustering. The paper proposes a discretization method based on the k-means clustering algorithm which avoids the O(n...

Tags: Clustering, Discretization Method, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing

White papers 2009-04-17

Additional Resources

Numerical Modelling With Python and XML

This paper continues the development of the python-based package for the solution of partial differential equations using spatial discretization techniques such as the Finite Element Method FEM, but they take it to a higher level using two approaches: First they define a Model class object which makes it easy to...

Tags: Python, University Of Queensland, XML, Software/Web Development, Web Development

White papers 2008-01-01

Efficient SQL-Querying Method for Data Mining in Large Data Bases

Data mining can be understood as a process of extraction of knowledge hidden in very large data sets. Often data mining techniques (e.g. discretization or decision tree) are based on searching for an optimal partition of data with respect to some optimization criterion. This paper investigates the problem of optimal...

Tags: Warsaw University, SQL, Data Mining, Business Intelligence, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing

White papers 2007-01-07