Apr 20, 2006 · In this paper, we propose an online algorithm to continuously discover the current set of frequent tree patterns from the data stream. A novel ...

Nov 7, 2009 · In this paper, we propose an efficient technique to discover the complete set of recent frequent patterns from a high-speed data stream over a sliding window.

This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent ...

Compared with other stream processing tasks, the unique challenges in discovering frequent patterns are in three-fold. First, frequent pattern mining needs to ...

Step 1: Built a compact data structure called FP-tree. Built using 2 scans over the data set. Step 2: Extracts frequent itemsets directly from the FP-tree.

Partially due to the inherited limitation of the sensors, data in these streams can be uncertain. To discover useful knowledge in the form of frequent patterns ...

In this paper, we propose a novel algorithm, namely DSCA, for discovering frequent patterns over a transactional data stream. Different from other existing ...

We proposed a data mining method for finding recent frequent items over an online data stream. An efficient single-pass method, called frequent itemset ...

Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process ...

mining frequent patterns from data streams. The FP-stream structure consists of an in-memory frequent pattern tree with tilted-time window embedded.