Title : Identifying outliers in massive distributed databases using cell density based approaches

Type of Material: Thesis
Title: Identifying outliers in massive distributed databases using cell density based approaches
Researcher: Aravapalli, Rama Satish
Guide: Bala Krishna Prasad P
Department: Department of Computer Science and Engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2016
Language: English
Subject: Data mining
Data warehouses
Engineering and Technology,
Information repositories
Computer Science
Artificial Intelligence
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2016
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_454738
040__|dIN-AhILN|aNGJN_522510
041__|aeng
100__|eResearcher|aAravapalli, Rama Satish
110__|aDepartment of Computer Science and Engineering|ein|dGuntur|bAcharya Nagarjuna University, Guntur
245__|aIdentifying outliers in massive distributed databases using cell density based approaches
260__|c2016|aGuntur|bAcharya Nagarjuna University, Guntur
300__|c-|dNone|a117 p.
500__|areferences p.106-117
502__|d2016|bPhD|cDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, Guntur
518__|dn.d.|oDate of Award
518__|dn.d.|oDate of Registration
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aData mining
653__|aData warehouses
653__|aEngineering and Technology,
653__|aInformation repositories
653__|aComputer Science
653__|aArtificial Intelligence
700__|aBala Krishna Prasad P|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/269506|yShodhganga
905__|afromsg

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