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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | QUERY AND RETRIEVAL SYSTEM FOR TERRORISM DATABASE |
| Authors Name: | GAURAV DWIVEDI , SRICHARAN SRIDHAR , VINAYAKA SRINIVAS |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_190960
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| Published Paper Id: | IJNRD2304243 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Terrorism has always been a taboo subject and not much scaled and oriented information was always available over the web to the common people. The information which was available was always unorganized and not up to the mark. Through this paper, we are trying to create a database that retrieves the information of all the terrorist attacks such as the people involved (i.e. the leader and the terrorist group), the location and the date and time of each attack. The database created is in a form of search engine that uses retrieval algorithms like Positional Indexing, Inverted indexing, Signature files as well as clustering based algorithms to retrieve the specified query. These retrieval algorithms are implemented over a dataset that has nearly 190,000 rows and 135 columns. After the preprocessing part, the main task was to make every single row of the database as a single document and then tokenize them so that we get relevant and specific information of all the data points present in the dataset. After breaking down the dataset, the proposed algorithms (mentioned above) are then implemented. During the process of implementation we broke down the dataset in 5000 documents so as for the smooth working of the python code according to the machine specifications. |
| Keywords: | terrorism, inverted, positional, indexing, hash files, cluster, |
| Cite Article: | "QUERY AND RETRIEVAL SYSTEM FOR TERRORISM DATABASE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.c321-c333, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304243.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2304243 Registration ID: 190960 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: c321-c333 Country: CHENNAI, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304243 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304243 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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