Data Mining from Machine Learning Perspective

IJSRD: International Journal for Scientific Research & Development

Author(s):
Veni Gupta , Shaheed Rajguru College of Applied Sciences for Women (University of Delhi); Amita Kapoor, Shaheed Rajguru College of Applied Sciences for Women (University of Delhi)

Keywords:
Data Clustering, Machine Learning, Cellular Cloning Fraud and its Detection

Abstract:
Today, a huge amount of data is generated every hour, in website logs, in camera CCTVs footage, social networking sites and so on. The superfluity of data has made it important and difficult to discover useful knowledge from the data. Data scientists are using data mining to interpret this knowledge and apply it into some new useful and innovative technology with the help of machine learning. Both, data mining and machine learning are two interdisciplinary branches, which combine science as well as statistics. In today's world they both play an important role in making the modern Technology more useful and adaptive. This paper provides a brief review of the present day data mining and machine learning techniques, their uses and applications.

Intoduction:
In past few years, a huge amount of data is being generated and collected. As the technology is advancing and the use ofinternet is increasing, a huge amount of the data is collected worldwide every day. The use of bar codes, the computerization of many transactions, the growing e-commerce has resulted in a very large amount of the data. Thus, there is a need of efficient technology to study this data and analyze it to discover the knowledge hidden in it. The new tools and techniques arerequired to intelligently transform this data into useful knowledge and apply that knowledge. Data mining is also known as ―Knowledge Discovery in Databases‖ and has recently emerged as an efficient technique to extract out the knowledge and information from a wide range of databases (temporal, spatial, and relational). Data mining is the non-trivial extraction of implicit previously unknown and useful information [1].......

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