RESEARCH
Research and Industry-Academia Collaboration
研究・産学連携
Discovering Periodic Patterns in Temporal Databases
Overview
Periodic Patterns are an important class of regularities that exist in a temporal databases. In this study, we have investigated novel models and fast algorithms to find interesting periodic patterns in very large databases.
We have published papers in top-tier conferences, such as EDBT (CORE rank A), SSDBM (CORE rank A), PAKDD (CORE RANK A) and IEEE BIG DATA (CORE rank not yet available).
