In this paper, we study the maintenance of frequent patterns in the context of the generator representation. The generator representation is a concise and lossless representation of frequent patterns. We effectively maintain the generator representation by systematically expanding its  Negative Generator Border . In the literature, very few work has addressed the maintenance of the generator representation. To illustrate the proposed maintenance idea, a new algorithm is developed to maintain the generator representation for support threshold adjustment. Our experimental results show that the proposed algorithm is significantly faster than other state-of-the-art algorithms. This proposed maintenance idea can also be extended to other representations of frequent patterns as demonstrated in this paper.
['Mengling Feng', 'Jinyan Li', 'Limsoon Wong', 'Yap-Peng Tan']
Negative Generator Border for Effective Pattern Maintenance