Ontology type: schema:Chapter
2018
AUTHORS ABSTRACTMining patterns from databases is like searching for precious gems which is a gruesome task but still a rewarding one. The frequent patterns are believed to be valuable assets for the researchers that provide them useful information. The frequent and rare pattern mining paradigm is broadly divided into Apriori and FP-Tree-based approaches. Experimental results and performance evaluation available in the literature have established the fact that FP-Tree-based approaches are superior to the Apriori ones on various grounds. This paper explores the various modifications of FP-Tree that were developed to tackle the major pattern mining research challenges. Through this paper, an attempt has been made to review the usefulness and applicability of the most eminent data structure in the domain of pattern mining, the FP-Tree. More... »
PAGES535-543
Proceedings of First International Conference on Smart System, Innovations and Computing
ISBN
978-981-10-5827-1
978-981-10-5828-8
http://scigraph.springernature.com/pub.10.1007/978-981-10-5828-8_51
DOIhttp://dx.doi.org/10.1007/978-981-10-5828-8_51
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