Abstract
In the recent era, there is a growth of the huge volume of data; this includes the extension of spatial objects too. Hence, it is required to extract the knowledge from existing data sets and transform it into a human-understandable structure for further use. Spatial data mining is used to find the patterns in data with respect to geography. The calculation of income tax involves movable (e.g., two and four wheelers) and non-movable (e.g., houses, land etc.,) assets. Estimation of individual’s asset manually is difficult, because the information’s are distributed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Feng, W., Peng, L., Zhang, H., Lv, G.: Integration of WebGIS system based on .NET platform and web service method. Comput. Eng. 21 (2004)
Chang, K.T.: Introduction to Geographic Information Systems, pp. 117–122. McGraw-Hill Higher Education, Boston (2006)
Li, R.M., Lu, H.P.: Intelligent traffic management command and dispatch system based on WebGIS. Comput. Eng. 33(21), 232–234 (2007)
Yang, K., Sun, L.P., Huang, Y.X., Yang, G.J., Wu, F., Hang, D.R., Zhou, X.N., et al.: A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system. Geospat. Health 6(2), 195–203 (2012)
Yuan, K., Qin, W., Dong, M., Liu, J., Liu, P., Zhang, Y., Yang, W., et al.: Combining spatial and temporal information to explore resting-state networks changes in abstinent heroin-dependent individuals. Neurosci. Lett. 475(1), 20–24 (2010)
Köbben, B.: RIMapperWMS: a web map service providing SVG maps with a built-in client. In: The European Information Society, pp 217–230. Springer, Berlin, Heidelberg (2007)
Zhu, F., Guan, J., Zhou, J., Zhou, S.: Storing and querying GML in object-relational databases. In: Proceedings of the 14th Annual ACM International Symposium on Advances in Geographic Information Systems, pp. 107–114. ACM, Nov 2006
Chen, J., Li, C., Li, Z., Gold, C.: A Voronoi-based 9-intersection model for spatial relations. Int. J. Geogr. Inf. Sci. 15(3), 201–220 (2001)
Shekhar, S., Lu, C.T., Tan, X., Chawla, S., Vatsavai, R.R.: A visualization tool for spatial data warehouses. Geograp. Data Mining and Knowl. Discov. 73 (2001)
Renz, J.: Qualitative spatial reasoning with topological information. Springer (2002)
Shariff, A.R.M., Hamzah, A.H., Mahmud, A.R., Yusof, N.M.Z.N., Ali, H.M.: Spatial data infrastructure for malaysian land adminidtration. Int. J. Spat. Data Infrastruct. Res. 6 (2011)
Bertotti, M.L., Modanese, G.: From microscopic taxation and redistribution models to macroscopic income distributions. Int. J. Phys. A Stat. Mach. Appl. 390, 3782–3793 (2011)
Otusanya, O.J.: The role of multinational companies in tax evasion and tax avoidance: the case of Nigeria. Int. J. Critical Persp. Account. 22, 316–332 (2011)
Doerner, W.M., Ihlanfeldt, K.R.: House prices and city revenues. Int. J. Region. Sci. Urban Econ. 41, 332–342 (2011)
Filatova, T., Voinov, A., Van Der Veen, A.: Land market mechanisms for preservation of space for costal ecosystems: an agent-based analysis. Int. J. Environ. Model. Softw. 26, 179–190 (2011)
Forest, A., Kirchler, E.: Targeting occupations with varying reputation to increase tax revenue. J. Socio-Econ. 39, 400–406 (2010)
Alm, J., Cherry, T., Jones, M., Mckee, M.: Taxpayer information assistance services and tax compliance behavior. J. Econ. Psychol. 31, 577–586 (2010)
Xuming, M.: Research on corporate tax compliance, corporate governance and tax policies in China: from the international studies on the undersheltering puzzle, Department of Construction Management and Real Estate, Shenzhen University, Shenzhen, China, IEEE (2011)
Garrido, N., Mittone, L.: Tax evasion behaviour using finite automata: experiments in Chile and Italy. Expert Syst. Appl. (2011)
Shukla, A., Singh, C.P., Sen, M., Uppa, D.: EeGovernance: Inertia + Evolution = Revolution. In: National Conference of Computing for Nation Development (2011)
Park, J., Sandhu, R., Cheng, Y.: A user-activity-centric framework for access control in online. Univ. Texas San Antonio IEEE Internet Comput. 1089–7801, 62–65 (2011)
Sanchez, F.P.: Competitivity groups on social network sites. Math. Comput. Model. 52, 1052–1057 (2010)
Boldrini, C., Conti, M., Delmastro, F., Passarella, A.: Context and social—aware middleware for opportunistic networks. J. Netw. Comput. Appl. 33, 525–541 (2010)
Rodrigues, J.J.P.C., Sabino, F.M.R., Zhou, L.: Enhancing e-learning experience with online social networks. Inst. Eng. Technol. 5(8), 1147–1154 (2011)
Liu, Y., Yuvan, Y., Xiao, D., Zhang, Y., Hu, J.: A point-set-based approximation for areal objects: a case study of representing localities. Comput. Environ. Urban Syst. 34, 28–39 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pattabiraman, V., Parvathi, R. (2019). Automation of Assets Estimation for Accurate Tax Optimization Through Web Based Spatial Data Mining Techniques. In: Kumar, R., Wiil, U. (eds) Recent Advances in Computational Intelligence. Studies in Computational Intelligence, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-030-12500-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-12500-4_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12499-1
Online ISBN: 978-3-030-12500-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)