Publication Type : Book Chapter
Publisher : IGI Global
Source : Advances in Computational Intelligence and Robotics
Url : https://doi.org/10.4018/978-1-7998-8892-5.ch021
Campus : Mysuru
School : School of Computing
Department : Computer Science and Engineering
Year : 2022
Abstract : Mining has gained its momentum in almost every arena of research. The mining can be either spatial or non-spatial based on the search query. For classifying or for grouping the spatial data, algorithms with extended perspectives are projected in this chapter. Besides framing algorithms, one can also provide mass points based on the required attributes as well as indexing techniques. The extended algorithms can also be manipulated for efficient and robust solution with respect to different parameters.
Cite this Research Publication : Priya Govindarajan, Balakrishnan R., Rajesh Kumar N., Algorithmic Approach for Spatial Entity and Mining, Advances in Computational Intelligence and Robotics, IGI Global, 2022, https://doi.org/10.4018/978-1-7998-8892-5.ch021