Key points are not available for this paper at this time.
A summary is a succinct and informative description of a data collection. In the context of multi-document summarization, the selection of the most relevant and not redundant sentences belonging to a collection of textual documents is definitely a challenging task. Frequent itemset mining is a well-established data mining technique to discover correlations among data. Although it has been widely used in transactional data analysis, to the best of our knowledge, its exploitation in document summarization has never been investigated so far.
Baralis et al. (Mon,) studied this question.