Demonstration overview

Demonstration of the LISp-Miner system covers the following:

• LISp-Miner application to your own data. We recommend to use the following demonstration examples.

• Description and installation of data sets that are used in demonstration examples of the particular KDD procedures. There are two such data sets – fictitious data bank Barbora and data from the medical project STULONG.

• Demonstration of the DataSource procedure for introductory data analysis and for preparation of data matrices that are input of data mining and machine learning procedures.

• Demonstration of the 4ft-Miner that mines for various types of association rules including association rules based on the statistical hypotheses tests and conditional rules.

• Demonstration of the KL-Miner that mines for patterns based on evaluation of two-dimensional contingency tables.

• Demonstration of the KL-Collaps that processes a K * L contingency table computed by KL-Miner and searches for the strongest interactions in the contingency table.

• Demonstration of the CF-Miner that mines for conditions under which frequencies of categories of an attribute satisfy given requirements.

• Demonstration of the TimeTransf procedure for computing of various characteristics of time series.

• Demonstration of the SD4ft-Miner counts values of the quantifiers for two different sets and than compares these two results.