期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：1
页码：199
DOI：10.15680/IJIRCCE.2017.0501028
出版社：S&S Publications
摘要：Data mining is a process that turns raw data into useful information. Machine learning algorithms helpin analyzing data and finding useful models, pattern and other regularities in data. Data mining and Machine learninggo together in almost many areas. Whenever a mining algorithm tries to find a pattern or predict some details it trainsthe machine to do, this implies that machine learning plays a vital role in mining useful information. Because of thevast increase in data the traditional method of mining is not sufficient. Hence now the concept of data mining has beenupgraded to Big data analytics and the researchers are now turning their focus towards the study of big data. This paperfocus on the study of basic concepts of these three important domains, since learning the basic provides strongfoundation for applying the concepts effectively
关键词：Data Mining; Machine learning; Big data; Supervised/Unsupervised learning
