Interval data, a special case of symbolic data, are becoming more frequent in different fields
of applications due to the uncertainty in the observations or to reduce large data volume …

In many applications, transactions are associated with intervals related to time, temperature,
humidity or other similar measures. The term" 2D interval data" or" rectangle data" is used …

In this paper we present an incremental algorithm for mining all the closed intervals from
interval dataset. Previous methods for mining closed intervals assume that the dataset is …

In this paper, we propose a method for mining closed frequent intervals from interval dataset.
Already known algorithms for mining closed frequent intervals use either the maximal …

Interval data are found in many real-life situations involving attributes like distance, time, etc.
Mining closed frequent intervals from such data may provide useful information. Previous …

In this paper, an incremental method for mining the set of closed intervals in an interval
database is presented. In fast-growing data, new intervals are added to an interval database …