Analysis of structured transaction datasets for effective high utility itemset mining HUIM

dc.contributor.guide	Sonawane, Kavita
dc.coverage.spatial
dc.creator.researcher	Eduardus, Hardika S
dc.date.accessioned	2024-12-03T10:50:15Z
dc.date.available	2024-12-03T10:50:15Z
dc.date.awarded	2024
dc.date.completed	2023
dc.date.registered	2021
dc.description.abstract	File attached newline
dc.description.note	Location-Knowledge Resource Centre, Kalina
dc.format.accompanyingmaterial	CD
dc.format.dimensions	30*21
dc.format.extent	xvi, 232p
dc.identifier.uri	http://hdl.handle.net/10603/604511
dc.language	English
dc.publisher.institution	Computer Engineering St Francis Institute of Technology
dc.publisher.place	Mumbai
dc.publisher.university	University of Mumbai
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Apache Spark
dc.subject.keyword	Cluster computing
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Genetic algorithm
dc.subject.keyword	High Utility Itemset Mining HUIM
dc.subject.keyword	Message passing interface
dc.subject.keyword	Parallel and distributed computing
dc.subject.keyword	Pattern mining
dc.title	Analysis of structured transaction datasets for effective high utility itemset mining HUIM
dc.title.alternative
dc.type.degree	Ph.D.