Soumen Swarnakar1, Sreya Dutta2, Sayni Sarkar2, Kausani Chakroborty2 and Saheli Kar2

1Department of Information Technology, Asst. Professor, Netaji Subhash Engineering College, Techno City, GariaKolkata-700152, India2B.Tech Student, Department of Information Technology, Netaji Subhash Engineering College, Techno City, GariaKolkata-700152, India

Research Science Press

VOLUME 8 • NUMBER 1 • JUNE 2016

j o u r n a l h o m e p a g e : s e r i a l s j o u r n a l s . c o m

Authors emails

soumen_swarnakar@yahoo.co.in

sreyadutta@yahoo.co.in

sayani.sarkar95@gmail.com

kausani.23@gmail.com

sahelikar067@gmail.com

© 2016 Research Science Press.All rights reserved

12 Soumen Swarnakar, Sreya Dutta, Sayni Sarkar, Kausani Chakroborty and Saheli Kar

An Efficient Dynamic Clustering Method for Web Document Clustering 13

Start

Make hash indexing of concept dictionary

For newly arrived document DOC i; i = 1 to n, make hash index organization

i=1

Make index of the newly arrived document using ontology tree based concept vector

Make a list of index of the existing clusters

Compare list of the newly arrived document with the list of index of the existing cluster

Place the newly arrived document with the cluster

having similar index

Make new document as a cluster

i=i+1

Dynamic clustering done

Cluster exists

i<= n

Stop

yes

no no

yes

s

N e t w o r k i n g

l

i

b bridge

LAN

internet

intranet

socket

14 Soumen Swarnakar, Sreya Dutta, Sayni Sarkar, Kausani Chakroborty and Saheli Kar

MAN

WAN

Networking LAN m

w

area

LAN

local

network

a

l

n

An Efficient Dynamic Clustering Method for Web Document Clustering 15

16 Soumen Swarnakar, Sreya Dutta, Sayni Sarkar, Kausani Chakroborty and Saheli Kar

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iijavgj aT

1

j

ij

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n

),(Re),(Pr

)),(Pr*),(Re*2(

jicalljiecision

jiecisionjicall

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||

1

iC

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k

j

i

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C

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An Efficient Dynamic Clustering Method for Web Document Clustering 17

18 Soumen Swarnakar, Sreya Dutta, Sayni Sarkar, Kausani Chakroborty and Saheli Kar