International Journal for Rapid Research in Engineering Technology & Applied Science Beta

ISSN (Online): 2455-4723



Notice Board :

Call for Paper
Vol. 10 Issue 7

Submission Start Date:
July 1, 2024

Acceptence Notification Start:
July 10, 2024

Submission End:
July 15, 2024

Final MenuScript Due:
July 25, 2024

Publication Date:
July 31, 2024


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                         Notice Board: Call for PaperVol. 10 Issue 7      Submission Start Date: July 1, 2024      Acceptence Notification Start: July 10, 2024      Submission End: July 15, 2024      Final MenuScript Due: July 25, 2024      Publication Date: July 31, 2024




Volume V Issue VI

Paper Title
Prediction of Product Recommendation
Author Name
Neha Kale, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 6
Abstract
Recommender Systems (RS) are widely used for providing automatic personalized suggestions for information, products and services. Collaborative Filtering (CF) is one of the most popular recommendation techniques. However, with the rapid growth of the Web in terms of users and items, majority of the RS using CF technique suffer from problems like data sparsity and scalability. In this paper, we present a Recommender System based on data clustering techniques to deal with the scalability problem associated with the recommendation task. We use different voting systems as algorithms to combine opinions from multiple users for recommending items of interest to the new user.
PaperID
2019/IJRRETAS/6/2019/39697

Paper Title
Python tool to decode base64 encoded Data
Author Name
Mukesh Choudhary, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 6
Abstract
Base64 encoding is a process of converting binary data to an ASCII string format by converting that binary data into a 6-bit character representation. The Base64 method of encoding is used when binary data, such as images or video, needs to be transmitted over systems that are designed only to transmit data in a plain text (ASCII) format. Web developers use base64 formats to include images, fonts, sounds and other resources directly inside HTML, JavaScript, JSON and XML files. We estimate that billions of base64 messages are decoded every day.
PaperID
2019/IJRRETAS/6/2019/39694

Paper Title
Securing Hadoop: A Survey to investigate need of security in Big Data Processing using Hadoop Ecosystem
Author Name
Sonal Jain, Mohit Jain
Year Of Publication
2019
Volume and Issue
Volume 5 Issue 6
Abstract
Big data is used to store bulk amount of data. Hadoop processing system involves large data to deal with and offers scalable and distributed storage. In every minutes and seconds, large data is generated, with the generation of large data they required to be store in a safe and secure manner. As data, leakage is common in Hadoop Distributed File System so security methods need to be implemented in scenario. Existing work uses ARIA and AES algorithm and faces the issue of memory overheads and extra computation time.
PaperID
2019/IJRRETAS/6/2019/39693