Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/355035
Title: | Information Mining for Disaster Response and Recovery Through Social Media Analysis |
Researcher: | Rexiline Ragini, J |
Guide(s): | Rubesh Anand, P M |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Hindustan University |
Completed Date: | 2018 |
Abstract: | The big data generated from social media and mobile network gives us with newlinetremendous opportunity to explore meaningful insights from it. Though big data newlinehas found its application in almost all the sectors, its application in crisis newlineresponse is still in early stage. During any crisis, making the right decision newlinebecomes critical to prevent the damages and soothing affected people with their newlineneeds. In such situations, the disaster management team relies often on newlineincomplete or incorrect data. This is where big data and computational newlineintelligence can help the rescue team to get the right information from a huge newlineamount of data, analyze it and take the best course of action. |
Pagination: | |
URI: | http://hdl.handle.net/10603/355035 |
Appears in Departments: | Department of Computer Application |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10_chapter 1.pdf | Attached File | 5.51 MB | Adobe PDF | View/Open |
11_chapter 2.pdf | 5.51 MB | Adobe PDF | View/Open | |
12_chapter 3.pdf | 5.51 MB | Adobe PDF | View/Open | |
13_results.pdf | 1.35 MB | Adobe PDF | View/Open | |
14_discussion.pdf | 112.1 kB | Adobe PDF | View/Open | |
15_summary.pdf | 47.08 kB | Adobe PDF | View/Open | |
16_future.pdf | 45.88 kB | Adobe PDF | View/Open | |
17_reference.pdf | 1.12 MB | Adobe PDF | View/Open | |
1_title.pdf | 5.51 MB | Adobe PDF | View/Open | |
2_certificate.pdf | 43.66 kB | Adobe PDF | View/Open | |
3_declaration.pdf | 5.51 MB | Adobe PDF | View/Open | |
5_contents.pdf | 5.43 MB | Adobe PDF | View/Open | |
6_abstract.pdf | 43.62 kB | Adobe PDF | View/Open | |
7_tables.pdf | 46.82 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 11.1 MB | Adobe PDF | View/Open | |
8_figures.pdf | 5.51 MB | Adobe PDF | View/Open | |
9_abbreviations.pdf | 5.51 MB | Adobe PDF | View/Open |
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