ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION

March 2018
Vol-4, Issue-2
Paper ID: 7458
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Big Data Mutual Funds User Credentials Analysis Recommendation.
Abstract
Tremendous Data insinuates datasets whose size are past the limit of common database programming instruments to get, store, regulate and separate. Hadoop is the broadly utilized enormous information handling motor with a straightforward ace slave setup. In the shared reserve industry, prescient examination assumes a key part in giving information driven choices to dealing with the assets under an NSE and BSE. Huge Information prescient examination utilizing progressed investigation stage can dissect the enormous measures of exchange information and other time slant factors at a large-scale level. This stage can explore these elements with close continuous information and can give exceedingly precise forecasts to the recovering financial specialists later on at a speculator level.

Author Information

# Name Institute / Affiliation
1 Ms. S. Jayashree Panimalar Institute of Technology
2 Ms. J. Angel Panimalar Institute of Technology
3 Ms. D. Kamatchi Panimalar Institute of Technology
4 Mrs. T. AniBernish Panimalar Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Jayashree, Ms. S., Angel, Ms. J., Kamatchi, Ms. D., & AniBernish, Mrs. T. (2018). ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 145-150.
MLA Style
Jayashree, Ms. S., et al. "ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 145-150.
IEEE Style
Ms. S. Jayashree, Ms. J. Angel, Ms. D. Kamatchi, and Mrs. T. AniBernish, "ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 145-150, 2018.
Vancouver Style
Jayashree Ms. S., Angel Ms. J., Kamatchi Ms. D., AniBernish Mrs. T.. ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):145-150.
Harvard Style
Jayashree, Ms. S., Angel, Ms. J., Kamatchi, Ms. D., & AniBernish, Mrs. T. (2018) 'ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 145-150.
Chicago Style
Jayashree, Ms. S., et al. "ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 145-150.
Turabian Style
Jayashree, Ms. S., et al. "ANALYZING USER PROFILE AND MUTUAL FUNDS RECOMMENDATION." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 145-150.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable