Study Report On Data Mining

3613 Words Apr 24th, 2015 15 Pages
UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE

STUDY REPORT
ON
Data Mining

Submitted By Submitted To
Harshil Sheth DR. Anthony B. Wilkinson
800833329

Submitted in the partial fulfilment of Master’s Degree in Computer Science Contents
1. Abstract

2. Need for Data Mining

3. History of Data Mining

4. DATA MINING PROCESS

5. Applications of Data Mining

6. Privacy Concerns and Ethics

7. Precaution to be taken before using the data

8. References

Abstract
Data mining is the analysis step of the "Knowledge Discovery in Databases" process, or KDD. An interdisciplinary subfield of computer science, Data Mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. 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 consists of database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
Data mining task is the automatic or semi-automatic analysis of large quantity of data to extract previously unknown interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection)…

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