Efficient Approach for Land Record Classification and Information Retrieval in Data Warehouse

Abstract

A data warehouse collects the recent and ancient data that are used for creating analytical reports and \u00a0put together to \u00a0produce \u00a0useful \u00a0information. \u00a0Retrieve \u00a0the \u00a0information \u00a0accurately \u00a0from \u00a0a \u00a0large \u00a0source of data \u00a0is \u00a0a \u00a0challenging \u00a0task. \u00a0A \u00a0novel \u00a0ANN-FUZZY-CSO \u00a0approach \u00a0is \u00a0proposed \u00a0to \u00a0predict \u00a0and \u00a0retrieve \u00a0the information \u00a0accurately. \u00a0First, \u00a0the \u00a0artificial \u00a0neural \u00a0network \u00a0(ANN) \u00a0classifies \u00a0the \u00a0input \u00a0data \u00a0for \u00a0ordering \u00a0the information to construct a database as different classes. \u00a0Then, the mongo database will store \u00a0a large amount of \u00a0data \u00a0for \u00a0facilitating \u00a0easy \u00a0maintenance, \u00a0prompt \u00a0updating \u00a0of \u00a0land \u00a0records \u00a0and \u00a0security. \u00a0After \u00a0that, \u00a0the 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 \u00a0the \u00a0database. \u00a0The \u00a0accurate \u00a0results \u00a0for \u00a0the \u00a0user \u00a0query \u00a0are \u00a0retrieved \u00a0using \u00a0cat \u00a0swarm \u00a0optimization \u00a0(CSO) algorithm. \u00a0The \u00a0optimized \u00a0fuzzy \u00a0rules \u00a0allow \u00a0the \u00a0users \u00a0for \u00a0easy \u00a0access \u00a0to \u00a0their \u00a0records. \u00a0Finally, \u00a0the performance is evaluated for the retrieval results