| A Big Data Analytics Literature Survey Using Machine Learning Algorithms |
| Pages: 39-42 (4) | [Full Text] PDF (261 KB) |
| Senthil R, Narayanan B, Velmurugan K |
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Dept. of Computer Science & Engineering, Annamalai University Chidambaram, Tamilnadu, IndiaAssistant Professor, Dept. of Computer Science & Engineering Wing, D.D.E, Annamalai University Chidambaram, Tamilnadu, IndiaProfessor, Anjalai Ammal-Mahalingam Engineering College Thiruvarur, Tamilnadu, India https://doi.org/10.47277/IJCSSE/9(7)1 |
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Abstract - Big data analytics is a methodology to analyze large volumes of data sets involved in various sectors and extract information that helps to predict proper conclusions. These concluded results are then used to predict the future of business. The data analysed comes in various volumes, velocities, and varieties. The Volume is the amount of data generated every second. Many organizations like healthcare, airlines, banking, and geospatial applications, etc. collect large volumes of data. The rate or speed at which the data is generated is referred to as Velocity. Social media plays a vital role as enormous amount of data is collected when anyone uploads or comments on any posts. Variety is defined as data coming in different forms like numerical data, texts, images, pdfs, videos, JSON, XML, etc. Many frameworks are analyzed in this survey paper to process these enormous data. Various complex algorithms are explained which helps developers and analysts to analyze and predict the future results. |
| Index Terms - Big Data Analytics, Dimensionality Reduction technique, Machine Learning algorithms and Data Mining |
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C itation - Senthil R, Narayanan B, Velmurugan K . "A Big Data Analytics Literature Survey Using Machine Learning Algorithms." International Journal of Computer Science and Software Engineering 9, no. 7 (2020): 39-42. |