Mining high utility itemsets from a transaction database

dc.contributor.guide	Goyal, Vikram
dc.coverage.spatial	Computer Science
dc.creator.researcher	Dawar, Siddharth
dc.date.accessioned	2021-06-02T06:29:30Z
dc.date.available	2021-06-02T06:29:30Z
dc.date.awarded
dc.date.completed	2021
dc.date.registered
dc.description.abstract	file attached
dc.description.note	references p.141-153
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	153 p.
dc.identifier.uri	http://hdl.handle.net/10603/327738
dc.language	English
dc.publisher.institution	Computer Science and Engineering
dc.publisher.place	Delhi
dc.publisher.university	Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.relation	no. of references 85
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Hardware and Architecture
dc.subject.keyword	Frequent itemset mining
dc.title	Mining high utility itemsets from a transaction database
dc.title.alternative	-
dc.type.degree	Ph.D.