CDR and TD analysis using Data Mining

November 2017
Vol-3, Issue-6
Paper ID: 7090
ISSN: 2395-4396
Downloads: 0

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.

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.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable