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Volume 3, Issue 6 (June 2017)

Mining Of Urstp’s With Recommendation System

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Volume 12 Issue 07

July 2026

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Author(s)

S. P. Katore Prof.P.B.Vikhe

Abstract

Textual Documents Created Are More Changing In Various Forms. Most Of Existing Works Are Related To Force Modelling And The Social Darwinism Of Isolated Topics, Interval Sequential Relations Of Topics In Successive Documents Published By A Specific User A


Keywords

Web Mining Sequential Pattern Document Stream Rare Event Pattern Growth Dynamic Programming.

Paper ID

IJSARTV3I615801

Publication Date

June 23, 2017

Research Area

Computer Engineering

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