- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Abstract. A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining app...
Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high ut...
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan ...
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
: This paper contains description of an knowledge discovery experiment performed in radio planning department of one of Polish celular telecom providers. The results of using vario...