Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
: There is a long tradition of describing cities through a focus on the characteristics of their residents. A brief review of the history of this approach to describing cities high...
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Information integration is often faced with the problem that different data sources represent the same set of the real-world objects, but give conflicting values for specific prop...