Finding frequent items in probabilistic data

  title={Finding frequent items in probabilistic data},
  author={Qin Zhang and Feifei Li and Ke Yi},
  booktitle={SIGMOD Conference},
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or uncertain. In this paper, we study an important statistical query on probabilistic data: finding the frequent items. One straightforward approach to identify the frequent items in a probabilistic data set is to simply compute the expected frequency of an item and decide if it exceeds a certain fraction of the expected… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 220 citations. REVIEW CITATIONS
125 Citations
7 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 125 extracted citations

220 Citations

Citations per Year
Semantic Scholar estimates that this publication has 220 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…