CDR and TD analysis using Data Mining
Abstract & Details
Research Area
Information Technology
Keywords
CDR
TD
Apriori
K-means
GUI
SIM
Abstract
Cell phones acts as an basic entity in any of the crime scenes. With the help of approriate tools finding the possible suspect/criminal can be an easy task. CDR (Call detail record) and TD (Tower Dump) can play an important role in finding the possible suspect. Here the call records of the area are been checked with the help of TD located at that specific area(where crime has occured),which uploads the data on to the database. The frequent caller is been identified by using APRIORI and K-Means Algorithms. A GUI is been developed,where the records are been obtained,if the suspect changes the SIM or Mobile Phone,with the help of specific tools,the data about the changed sim or mobile can also be obtained. Finally the output from the above process will help the police to find out possible suspect easily.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Rishabh Singh | Atharva College of Engineering |
| 2 | Akash Agivale | Atharva College of Engineering |
| 3 | Bhavin Oza | Atharva College of Engineering |
| 4 | Mahesh Mane | Atharva College of Engineering |
| 5 | Akshay Naik | Atharva College of Engineering |
| 6 | Snehal Kathale | Atharva College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Singh, Rishabh, Agivale, Akash, Oza, Bhavin, Mane, Mahesh, Naik, Akshay, & Kathale, Snehal (2017). CDR and TD analysis using Data Mining. International Journal of Advance Research and Innovative Ideas In Education, 3(6), 1759-1761.
MLA Style
Singh, Rishabh, et al. "CDR and TD analysis using Data Mining." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 6, 2017, pp. 1759-1761.
IEEE Style
Rishabh Singh, Akash Agivale, Bhavin Oza, Mahesh Mane, Akshay Naik, and Snehal Kathale, "CDR and TD analysis using Data Mining," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 6, pp. 1759-1761, 2017.
Vancouver Style
Singh Rishabh, Agivale Akash, Oza Bhavin, Mane Mahesh, Naik Akshay, Kathale Snehal. CDR and TD analysis using Data Mining. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(6):1759-1761.
Harvard Style
Singh, Rishabh, Agivale, Akash, Oza, Bhavin, Mane, Mahesh, Naik, Akshay, & Kathale, Snehal (2017) 'CDR and TD analysis using Data Mining', International Journal of Advance Research and Innovative Ideas In Education, 3(6), pp. 1759-1761.
Chicago Style
Singh, Rishabh, et al. "CDR and TD analysis using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 3, no. 6 (2017): 1759-1761.
Turabian Style
Singh, Rishabh, et al. "CDR and TD analysis using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 3, no. 6 (2017): 1759-1761.
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