HybridMiner: Mining Maximal Frequent Itemsets Using Hybrid Database Representation Approach

Details HybridMiner: Mining Maximal Frequent Itemsets Using Hybrid Database Representation Approach HybridMiner: Mining Maximal Frequent Itemsets Using Hybrid Database Representation Approach

2009-04-21

arxiv.org/abs/0904.3312v1

Computer Science

Databases

8 Pages In the proceedings of 9th IEEE-INMIC 2005, Karachi, Pakistan, 2005

Scientific paper

In this paper we present a novel hybrid (arraybased layout and vertical bitmap layout) database representation approach for mining complete Maximal Frequent Itemset (MFI) on sparse and large datasets. Our work is novel in terms of scalability, item search order and two horizontal and vertical projection techniques. We also present a maximal algorithm using this hybrid database representation approach. Different experimental results on real and sparse benchmark datasets show that our approach is better than previous state of art maximal algorithms.

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