NSPM is significant, and at certain times, it is much more informative when compared to PSP, and it could be exploited in numerous intelligent systems. Accordingly, only certain researches on NSP mining methodologies are obtainable, and the majority is very incompetent as they attain the support of NSC by scrutinizing the database frequently. Anyhow, when datasets turn out to be dense, the key procedure to attain the NSC support in NSP will consume more time, and it requires to be enhanced. Accordingly, this survey intends to review various topics to solve NSPM issues. Accordingly, the performance measures and the maximum performance achievements are also analyzed and demonstrated in this survey. In addition, the algorithmic classification for the surveyed papers is analyzed and described. Finally, the research gaps and issues of the NSPM issues are also discussed briefly.
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