Study Report On Data Mining

3613 Words Apr 24th, 2015 15 Pages

Data Mining

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

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


5. Applications of Data Mining

6. Privacy Concerns and Ethics

7. Precaution to be taken before using the data

8. References

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
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The wide range of applicability in heterogeneous domains which comprises of large volume of rich data makes Data Mining an important and challenging sector for the Data scientists.

Why do we need Data Mining?
• We are in an age often referred to as the information age. In this information age, we believe that information leads to power and success. We have been collecting tremendous amounts of data.
• Initially, with the advent of computers and means for mass digital storage, we started collecting and storing all sorts of data, counting on the power of computers to help sort through this amalgam of information. Unfortunately, these massive collections of data stored on disparate structures very rapidly became overwhelming.
• The Conventional method of turning data into knowledge leans on manual analysis and interpretation but it creates a bottleneck for large data analysis. Facing to enormous volumes of data, human analysts with no special tools can no longer make sense.
• There is enormous gap from the stored data to the knowledge that could be formulated from the data. This transmutation won 't occur automatically, that 's where Data Mining comes into picture. In Data Analysis, some basic knowledge is known about the data, but Data Mining could help in a more detailed knowledge about the

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