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A Review on Classification of Data Imbalance using BigData

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    International Journal of Managing Information Technology (IJMIT)  WJCI Indexed ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: A Review on Classification of Data Imbalance using BigData Authors Ramasubramanian and Hariharan Shanmugasundaram, Shadan Women’s College of Engineering and Technology, India Abstract Classification is one among the data mining function that assigns items in a collection to target categories or collection of data to provide more accurate predictions and analysis. Classification using supervised learning method aims to identify the category of the class to which a new data will fall under. With the advancement of technology and increase in the generation of real-time data from various sources like Internet, IoT and Social media it needs more processing and challenging. One such challenge in processing is data imbalance. In the imbalanced dataset, majority classes dominate over minority classes ca...

A Comparative Study of NOSQL System Vulnerabilities with Big Data

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International Journal of Managing Information Technology (IJMIT) ISSN: 0975-5586 (Online); 0975-5926 (Print) http://airccse.org/journal/ijmit/ijmit.html Article: A Comparative Study of NOSQL System Vulnerabilities with Big Data Authors Kiran Fahd 1, Sitalakshmi Venkatraman 1 and Fahd Khan Hammeed 2, 1 Melbourne Polytechnic, Australia and 2 Data Centre, Australia Abstract With the emerging third wave in the development of the Internet, the past year has witnessed huge data exposure resulting in cyber-attacks that have increased four times as that of the previous year’s record. In this digital era, businesses are making use of NoSQL technologies for managing such Big Data. However, the NoSQL database systems come with inherent security issues, which pose a major challenge to many organisations worldwide. There is a paucity of research studies for exposing the security threats and vulnerabilities of NoSQL technologies comprehensively. This paper presents an in-...