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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21544
Article Published : 8519
Total Authors : 22414
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Analysis of Spatial Data over Open Street Map Using Latent Semantic Analysis and Genetic Algorithm |
| Authors Name: | Pallavi Tyagi , Dharamveer Singh , Vikas Gupta |
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| Author Reg. ID: |
IJRTI_183924
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| Published Paper Id: | IJRTI2208267 |
| Published In: | Volume 7 Issue 8, August-2022 |
| DOI: | |
| Abstract: | The need for information retrieval about the aforementioned location is increased by the "expansion or improvements of metropolitan areas and rural areas is moderately speedily going on, particularly the metropolis of India like (Delhi, Mumbai, and more), in addition to the said location's transportation infrastructure, goods, hospitality, business opportunities, and agricultural aspects. To remove the barriers or reduce the level of service would be detrimental to the masses' progress and development because the demand for these resources must increase. Latent Semantic Analysis and Genetic Algorithm are two Machine Learning techniques that are incorporated into the proposed approach to enable quick and efficient information retrieval from massive corpora or map repositories. The supervision model, however, is created using a service investigation based on the capacity and volume of data in relation to places and references. With the aid of picture interpretation and measuring vector data in the form of XML from Open Street Map, data on geometrical patterns and land use are obtained. The study's findings show an accuracy level of about 79 percent. The scheme primarily makes use of geometrical data from OSM to effectively extract land use data for information retrieval.” |
| Keywords: | OpenSteetMap, Machine Learning, Latent Semantic Analysis, Genetic Algorithm, Singular Value Decomposition, X tensible Markup Language |
| Cite Article: | "Analysis of Spatial Data over Open Street Map Using Latent Semantic Analysis and Genetic Algorithm", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.1697 - 1715, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208267.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2208267
Registration ID:183924
Published In: Volume 7 Issue 8, August-2022
DOI (Digital Object Identifier):
Page No: 1697 - 1715 Country: Ghaziabad, Uttar Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2208267 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2208267 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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