Data Classification and Association Rule Discovery are two important data mining techniques. In this paper, we apply the two techniques to find appropriate laws and articles for lawsuits. We propose a data classification method using a classifier generated from association rule discovery technique. We utilize the classifier to help selecting laws and articles to be tried for a lawsuit. Our expe...

Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system that takes advantage from this taxonomic knowledge on spatial data to mine multi-level spatial association rules. A large amount of rules is typically discovered even from small set of spatial data. In this paper we p...

Data mining is the process of extracting the previously unknown patterns from large amount of data. Privacy preserving data mining is one of the research areas in data mining. The main

This paper addresses the problem of mining rank data, that is, data in the form of rankings (total orders) of an underlying set of items. More specifically, two types of patterns are considered, namely frequent subrankings and dependencies between such rankings in the form of association rules. Algorithms for mining patterns of this kind are proposed and illustrated on three case studies.

The research of spatial data is in its infancy stage and there is a need for an accurate method for rule mining. Association rule mining searches for interesting relationships among items in a

The results discussed in this paper are relevant to a large database consisting of consumer profile information together with behavioral (transaction) patterns. The focus of this paper is on the problem of onhne mining of profile association rules in this large database. The profile association rule problem is closely related to the quantitative association rule problem. We show how to use mult...

the ion-pair association constant values, related to the reaction +  were determined by means of the nmr spectroscopy. the values of the thermodynamic functions of the ion pairing process were calculated on the basis of the nmr results. in addition, the association entropy was found to be dependent on the temperature. comparing the experimental data and the fuoss theory it is found that  ion-pa...

In this paper we present a new data mining algorithm which can give us the relationship among attributes within data set concisely and precisely. The relationships found from this algorithm shown in the rule form are consistent by not depending on the total number of record within the data set or the different proportion of all of the possible cases within the data set. This algorithm is neithe...