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Citation

Thesis Title
A Study of Frequent Pattern Mining In Transaction Datasets

Read article at Massey Research Online:

Mr Xu''sresearch was in the area of data mining - extracting useful information from large datasets automatically - and focussed on identifying frequent patterns: sets of items that are often seen together in a dataset. Frequent patterns play an essential role in many data mining tasks, such as identifying useful patterns for areas as diverse as stock markets, universities, and supermarkets. The challenge in data mining is extracting the information from massive databases in reasonable time. Mr Xu has developed effective and efficient algorithms for discovering frequent patterns. He also studied the related problem of how to identify and utilise the power-law-based pattern support distribution of the particular datasets being investigated. These results provide better algorithmic efficiency and better understanding of the mined results.

Supervisors
Professor Ruili Wang
Professor Stephen Marsland