Paper Title
QUERY AND RETRIEVAL SYSTEM FOR TERRORISM DATABASE
Article Identifiers
Authors
GAURAV DWIVEDI , SRICHARAN SRIDHAR , VINAYAKA SRINIVAS
Keywords
terrorism, inverted, positional, indexing, hash files, cluster,
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.
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How To Cite (APA)
GAURAV DWIVEDI, SRICHARAN SRIDHAR, & VINAYAKA SRINIVAS (April-2023). QUERY AND RETRIEVAL SYSTEM FOR TERRORISM DATABASE. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), c321-c333. https://ijnrd.org/papers/IJNRD2304243.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : c321-c333
Other Publication Details
Paper Reg. ID: IJNRD_190960
Published Paper Id: IJNRD2304243
Downloads: 000121982
Research Area: Computer EngineeringÂ
Country: CHENNAI, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304243.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304243
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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