An efficient approach for land record classification and information retrieval in data warehouse

Abstract

Data warehouse collects recent and old land record data used to generate analytical reports. Depending on factors such as historical evolution and local traditions, the system of land records differs from states. The survey maps, textual data, and registration records are matched with each other and updated for the registration and maintenance of such land records. In addition, citizens must get access to multiple agencies to get full information on land records. In order to eliminate such limitation, we propose a novel Artificial Neural Network (ANN)–FUZZY–cat swarm optimization (CSO) approach to accurately predict and retrieve the information. First, the ANN classifies the input data for ordering the information to construct a database of different classes. Then, the mongo database store a large amount of land record data for facilitating easy maintenance, prompt updating of land records and security. The accurate results for the user query are retrieved using CSO algorithm. Optimal rules allow users to access their posts easily. Finally, better performance results are for the information retrieval in terms of accuracy, precision, and recall.

KEYWORDS:

• Data warehouse
• Artificial Neural Network
• mongo database
• fuzzy
• cat swarm optimization

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

C. B. David Joel Kishore

C. B.DAVID JOEL KISHORE from Gooty, Andhra Pradesh, India, born on 22nd May 1973. He obtained his Diploma in E-commerce from BAE-HAL Software Company, Bangalore. He received his Master of Computer Applications (MCA) from Madras University, Madras. Then he obtained his Master of Philosophy (M.Phil in CS) from Bharathiyar University, Coimbatore. Also, he obtained his M.Tech from Bharathiyar University, Coimbatore, in the department of Computer Science and Engineering. Currently, he is pursuing his Ph.D. (Full Time) in Rayalaseema University, Kurnool, in the department of Computer Science and Engineering, under the guidance of Dr T. Bhaskara Reddy, working as Professor in Department of Computer Science & Technology at S.K. University, Anantapur.

T. Bhaskara Reddy

Dr. T. BHASKARA REDDY obtained his B.Sc. degree in MPS from the Sri Venkateswara University, in 1985 and M.Sc. degree in Computer Science from S.K.U in 1997. In 2009, he received his M.Tech in Computer Science from Acharya Nagarjuna University. He received the Ph.D. degree in Computer Science from Sri Krishnadevaraya University in the year 2006. Presently, he is working as Professor in the Department of Computer Science & Technology at Sri Krishnadevaraya University, Anantapur, India. He has 21 years of teaching experience in Sri Krishnadevaraya University and 11 years of research experience. Under his supervision 12 Ph.D. scholars have been awarded doctoral degree and 3 M.Phil. Scholars have been awarded. His research interests are Image Processing, Computer Networks, Data Mining and Warehousing and Cryptography.