Open AccessSPDM in Social Media for the Development of Business
Author(s) -
D. Gandhimathi,
Amit Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2863.039520
Subject(s) - process (computing) , spatial analysis , computer science , social media , focus (optics) , data science , data mining , business , geography , world wide web , physics , remote sensing , optics , operating system
In Modern era Social Media(SM) is a place of communication with collective information. Spatial Data Mining(SPDM) are acknowledged as mining of spatial knowledge among attractive pattern from various forms of Spatial Data. SPDM focus to theory and Methodology and process for extracting useful information through spatial data. Spatial Data are attributes of neighbors of selected object. SM and their role played in daily life increased considerably over the last few years. To examine collaboration among friends in a SM pattern of relationship is essential, for development of digitalized businesses in trading process. Data extracted with SPDM is utilized with KNG technique to identify the highly recommended product among clustered users. This paper illustrate the betterment of KNG while compared with KNN process using Spatial Data for the development of Business.