Mining frequent patterns from large databases plays an essential role in many data mining tasks and has broad applications. Most of the previously proposed methods adopt apriorilike candidate-generation-and-test approaches. However, those methods may encounter serious challenges when mining datasets with prolific patterns and/or long patterns. In this work, we develop a class of novel and effic...

Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specialized implementation since the prohibitive nature of the cost associated with extracting knowledge, as well as the lack of suitable declarative query language support. Frequent pattern mining is a foundation of s...