Data mining refers that the process of analyzing data from different perspectives discovering meaningful unknown patterns, trends and extracting useful information from data in large databases that facilitates to make proper decision making. As an enormous amount of data is generated every day, the field of data mining also increased in human life with various integration and advancements in the fields of Statistics, Machine Learning, Artificial Intelligence, Pattern Recognition, medical science, education, engineering, and so on. Data mining involves summarization, characterization and discrimination, prediction, classification, regression, clustering, and association.
Several literature surveys on data mining explore a strong and systematic review of data mining algorithms and techniques from different perspectives. However, there are different research challenges in data mining, such as heterogeneity, scalability, robust data, accuracy, trust, privacy crises, and garbage mining from the internet. This list of literature surveys on data mining covered topics as recent trends and developments based on data mining techniques.
