文章基本信息

标题：Prediction of Loan Status using Clustering Technique in Machine Learning
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作者：M Ashish Naidu ; K Radha
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：1
页码：73-84
出版社：IJCSN publisher
摘要：Nowadays, large amount of data is available everywhere. Therefore, it is very important to analyse this data in order to extract some useful information and to develop an algorithm based on this analysis. This can be achieved through data mining and machine learning. Machine learning is an integral part of artificial intelligence, which is used to design algorithms based on the data trends and historical relationships between data. Machine learning is used in various fields such as bioinformatics, intrusion detection, Information retrieval, game playing, marketing, malware detection, image deconvolution and so on. This paper presents the Necessity of Machine Learning and Role of Natural Language Processing in Machine Learning, Classification of Machine Learning Algorithms, Role of Machine Learning in Deep Learning and its Applications, A Comparison of Machine-Learning Classifiers, Multimodal Machine Learning, Deep Learning Based Natural Language Processing, Natural Language Processing Generation, Integration of Predictive Intelligence with Social Media Data. Implemented the Classification and Clustering Techniques and compared the results with EM Clustering algorithm ,ZeroR algorithm and Random Forest Algorithm for the given attributes. It has taken less time when compared to Random Forest and EM Clustering Algorithm.
关键词：Machine Learning; Deep Learning; Artificial Intelligence; Malware Detection; ZeroR; EM; Random Forest algorithm; Classification; Clustering