@Article{JICS-12-141,
author = {Uma Mahesh Kumar Gandham and Dr P Suresh Varma},
title = {Adaptive Cluster Multi Dimensional Data Analysis in Map Reduce Framework using Matlab},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {2},
pages = {141--150},
abstract = {Data privacy protection is one of the most disturbed issues on the present industry Data isolation 
issue require to be addressed immediately previous to the data sets are common on a cloud. Data point refers 
to  as  hiding  compound  data  for  owner  of  data  records.  Expand  the  process  of  analysis  over  big 
multidimensional  information  as  well,  by  importance  open  problems  and  real  investigate  trends.  In  this 
research  new  algorithm  called  Adaptive  Cluster  Multi  Dimensional  Data  Analysis  in  Map  Reduce 
Framework  is  been  implemented  on  mat  lab.  Dispensation  great  quantity  of  information  is  attractive  a 
confronting for data investigation software. Data clustering is a documented information study technique in 
data  mining  while  adaptive  K-Means  is  the  well  known  partition  clustering  method.  The  inspiration  at  the 
back  ACMDDA  proposing  algorithm  is  to  contract  with  different  dimensional  information  clustering,  with 
minimum  amount  error  rate  and  utmost  meeting  rate.  With  the  help  of  multidimensional  data  set  of  map 
dipping framework, here implemented algorithm will amplify the competence of the big data for out system. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22490.html}
}