Абстрактный

FP Tree Algorithm and Approaches in Big Data

T.Rathika, J.Senthil Murugan

ABSTRACT: Data mining is process of extracting a large amount of data that need to be analysed patterns have to be extracted from that to share knowledge. In this new era with rumble of data together structured, semi-structured and unstructured, in the field of machine learning, educational data mining, web mining and text mining, environmental research areas, it has become difficult to process, manage and analyzed patterns using traditional databases and relational databases So, a appropriate architecture should be understood to gain and share knowledge about the Big Data. This paper presents an analysis of various algorithms from for handling such big data set. These algorithms define various structures and methods implemented to handle Big Data, also in the paper are listed various data mining tools that were developed for analyzing them.