Machine learning techniques for data mining: A survey

作者：Seema Sharma, Jitendra Agrawal, Shikha Agarwal, Sanjeev Sharma · 年份：2013 · DOI：10.1109/iccic.2013.6724149 · 被引用次数：72 · 研究领域：Data Mining Algorithms and Applications、Bayesian Modeling and Causal Inference、Artificial Intelligence in Healthcare

Data mining (DM) is a most popular knowledge acquisition method for knowledge discovery. Classification is one of the data mining (machining learning) technique that maps the data into the predefined class and group's. It is used to predict group membership for data instance. There are many areas that adapt Data Mining techniques such as medical, marketing, telecommunications, and stock, health care and so on. This paper presents the various classification techniques including decision tree, Support vector Machine, Nearest Neighbor etc. This survey provides a comparative Analysis of various classification algorithms.