High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by ...
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...