Data mining methods and algorithms an interdisciplinary subfield of computer science is the computational process of discovering patterns in large data sets involving methods like Big Data Search and Mining, Novel Theoretical Models for Big Data, New Computational Models for Big Data, High performance data mining algorithms, Methodologies on large-scale data mining, Methodologies on large-scale data mining, Big Data Analysis, Data Mining Analytics, Big Data and Analytics. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and datamanagement aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.