TY - JOUR
T1 - Efficient Approach for Land Record Classification and Information Retrieval in Data Warehouse
AU - C. B. David Joel Kishore and T. Bhaskara Reddy
JO - Journal of Information and Computing Science
VL - 1
SP - 003
EP - 021
PY - 2018
DA - 2018/03
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22459.html
KW - 
AB - A data warehouse collects the recent and ancient data that are used for creating analytical reports 
and &nbsp;put together to &nbsp;produce &nbsp;useful &nbsp;information. &nbsp;Retrieve &nbsp;the &nbsp;information &nbsp;accurately &nbsp;from &nbsp;a &nbsp;large &nbsp;source of 
data &nbsp;is &nbsp;a &nbsp;challenging &nbsp;task. &nbsp;A &nbsp;novel &nbsp;ANN-FUZZY-CSO &nbsp;approach &nbsp;is &nbsp;proposed &nbsp;to &nbsp;predict &nbsp;and &nbsp;retrieve &nbsp;the 
information &nbsp;accurately. &nbsp;First, &nbsp;the &nbsp;artificial &nbsp;neural &nbsp;network &nbsp;(ANN) &nbsp;classifies &nbsp;the &nbsp;input &nbsp;data &nbsp;for &nbsp;ordering &nbsp;the 
information to construct a database as different classes. &nbsp;Then, the mongo database will store &nbsp;a large amount 
of &nbsp;data &nbsp;for &nbsp;facilitating &nbsp;easy &nbsp;maintenance, &nbsp;prompt &nbsp;updating &nbsp;of &nbsp;land &nbsp;records &nbsp;and &nbsp;security. &nbsp;After &nbsp;that, &nbsp;the 
optimized fuzzy ranking function is used to retrieve the information from the database based on the optimal 
fuzzy rules using cat swarm optimization algorithm. The fuzzy rules provide a ranking for an individual field 
in &nbsp;the &nbsp;database. &nbsp;The &nbsp;accurate &nbsp;results &nbsp;for &nbsp;the &nbsp;user &nbsp;query &nbsp;are &nbsp;retrieved &nbsp;using &nbsp;cat &nbsp;swarm &nbsp;optimization &nbsp;(CSO) 
algorithm. &nbsp;The &nbsp;optimized &nbsp;fuzzy &nbsp;rules &nbsp;allow &nbsp;the &nbsp;users &nbsp;for &nbsp;easy &nbsp;access &nbsp;to &nbsp;their &nbsp;records. &nbsp;Finally, &nbsp;the 
performance is evaluated for the retrieval results