Abstract

‘Data mining’ is the method of extracting valuable information from the large data sets. It may be called as knowledge mining from data. Nowadays, Data Analytics and Business Intelligence are focused on exploring useful information from the databases created for different purposes. One such database created for Land Records System of Odisha is ‘Bhulekh.’ The data of land properties are safeguarded by the government in Revenue and Disaster Management department. These data are very sensitive, voluminous, and quite unstructured in nature. Regional language ‘Odia’ is used for preparation of Record of Rights (RoR). Thus, Bhulekh Database of Odisha contains data in Odia language. Government of India at national level takes steps to provide better service in Land Records area to the public through its Digital India Land Records Management Programme (DILRMP). Earlier this programme was known as National Land Records Modernisation Programme (NLRMP). With the support from Government of India, Government of Odisha started computerizing its Land Records. The Bhulekh database created for the purpose contains 1.47 crore Khatiyans, 3.23 crore Tenants, and 5.47 crore Plots for 51681 villages of Odisha. Besides, the textual data, it also contains cadastral maps in another database known as ‘BhuNaksha.’ There is linkage between Bhulekh and BhuNaksha for spatial and non-spatial data integration for better service of the citizens. This helps to get the data easily from any corner in the globe. This paper discusses how data mining approach is used on Bhulekh for socioeconomic development of the society. Further, this helps the Government to take decisions, better manage government lands and resolving issues in time.

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