A Research on data mining using machine learning

Abstract

Data mining is the mathematical techniques of reading patterns in large sets of data involving methods belonging to the various fields like artificial intelligence, machine learning, and statistics. It is a subfield of computer science. This field is in high demand in the 21st century because it is implementable in all fields of science, social media and business. We are using the concepts of machine learning to train our system against a set of English phrases and words which may have weight .This weight is how we decide whether the phrases have a positive, negative or neutral net sentiment ratio. We then read data from sources and perform statistical analysis on this data to take some useful decisions. These choices can display to be of vital importance in numerous fields from industrial employer, Medical, Engineering and Media. Data mining is the exploration and evaluation of massive statistics gadgets, so that it will discover significant sample and policies. The basic concept is to catch out powerful way to mix the PC’s (personal computer) capacity to technique the information along the human eyes potential to encounter styles. The layout and art work effectively with big data unit that is purpose of record data mining. Information discovery from database is the wider process of data mining. Data Mining is the approach of reading facts from specific perspectives and encapsulates the results as helpful facts. It has been defined as "the nontrivial technique of figuring out legitimate, novel, probably beneficial, and ultimately comprehensible patterns in document.