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Efficient Frequent Closed Itemset algorithms with Applications to Stream Mining and Classification by Ranganath B.N.

By:

Ranganath, B.N

Contributor(s):

Advised by Narasimha Murty, M

Material type: Book

BookPublication details: Bangalore : Indian Institute of Science, 2008.Description: x, 80 p. : illDissertation: MSc(Engg);2008;Computer Science and AutomationDDC classification:

006.312 P08

Dissertation note: MSc(Engg);2008;Computer Science and Automation

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Item type	Current library	Call number	Status	Date due	Barcode
Thesis	JRD Tata Memorial Library	006.312 P08 (Browse shelf(Opens below))	Available		T06724

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Previous	006.312 KHA Machine learning and density functional theory assisted insights into the mechanical and oxidation properties of nickel-based superalloys	006.312 P06 Large data clustering and classification schemes for data mining	006.312 P06 Discovering Roles in the Evolution of Collaboration Networks	006.312 P08 Efficient Frequent Closed Itemset algorithms with Applications to Stream Mining and Classification	006.312 P11 Mining clickthrough data to improve search engine results	006.312 P13 Outlier detection with applications in graph data mining	006.312 P15 Effective characterization of sequence data through frequent episodes	Next

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MSc(Engg);2008;Computer Science and Automation

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