Normal view MARC view ISBD view

Efficient way of detecting cloned profiles in online social networking using similarity measure techniques

Material type: Text

TextDescription: iii,60 Bibliography page 59;30cm. CD.Uniform titles: Thesis Subject(s): English | CS / IT Engineering | Thesis (CS / IT) | Thesis (2014-2016)DDC classification: 808.066 004/

List(s) this item appears in: SIT Project Report Submitted by Students

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Call number	Status	Date due	Barcode
Project Report (UG & PG)	Symbiosis Institute of Technology, Lavale hill base, Pune B.Tech/M.Tech. Engg. Campus. General Stacks	808.066 004/ PRO (Browse shelf)	Not for loan		SIT-PRPT-107

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	808.066 004/ PRO Efficient and scalable quiz service in moodle open source lms	808.066 004/ PRO Fuzzy based fault tolerant low energy adaptive hierarhcy clustering routing protocol for wireless sensor network	808.066 004/ PRO Feature selection using machine larning in social media	808.066 004/ PRO Efficient way of detecting cloned profiles in online social networking using similarity measure techniques	808.066 004/ PRO In-memory based big data analytics with two-levels storage on private cloud	808.066 004/ PRO Analytical hierarchy process to explore the influence of social networking on students academic performance	808.066 004/ PRO Recommender system based on analytical hierarchy process, technique for order preference by similarity to ideal solution and weighted score method to a diabetic patient	Next

There are no comments for this item.

Symbiosis International University