This document discusses data mining and its applications. It defines data mining as the process of discovering patterns in large datasets through computational analysis. The document then outlines several applications of data mining, including using it in business intelligence to make data-driven decisions, in stock market analysis to find historical stock performance, and in marketing to understand product popularity on social media. It also discusses applications of data mining in multimedia to tag images, in robotics for machine learning, in medicine to recognize patterns in health metrics, and in analyzing DNA structures.
1. By
Ariya Subramani [II B.Sc. Computer Science]
D. Dharani [II B.Sc. Computer Science]
A research paper on
Holy Cross College (Autonomous), Ngl - 4
2.
Contents
Data Mining – an introduction
Applications of Data Mining
Business intelligence
Multimedia
Robotics
Medicine
Scope of Data Mining in the emerging world
3.
Data mining is the computational process of discovering
patterns in large data sets.
It is the analysis step of the "knowledge discovery in
databases" process, or KDD.
It intersects artificial intelligence, machine learning,
statistics, and database systems.
Definition
5.
Corporate companies and businesses use data
mining to gather intelligent information required to
make data-driven decisions.
Data mining is used in stock market analysis to find
the historical performance of stocks.
Marketing professionals use data mining to find the
popularity of their product as discussed in social
media.
Business Intelligence
6.
Corporate companies and businesses use data mining to gather
intelligent information required to make data-driven
decisions.
7.
Data mining is used in market analysis to find the historical
performance of stocks.
9.
Data mining is used in identifying the pixel patterns
of images. This contributes to the intersection of
multimedia and image analysis.
The system processes pixel patterns of images and
cross verifies them with a vast number of existing
similar patterns found in the database. Based on the
final result, the system tags the object in the image.
Multimedia
11.
Data mining is used to study the patterns of a human’s
behavior and actions. The patterns identified are later
converted into a program/algorithm which is fed into a
Robot that imitates the common behavior of its human
counterpart.
This process is often referred to as machine learning.
Robotics – AI
12.
Data mining is used to recognize the
patterns found in the changes and
reactions of the human body during
various conditions.
Nanobots are sent into the
bloodstream to measure and record
metrics such as blood sugar,
viscosity, hormonal balance, etc. The
patterns in change is related to the
external factors and a remedy is
found.
Medicine
13.
Data mining is used to recognize the patterns in the
DNA structure of human beings. The findings are used
to prevent potential hereditary diseases.
This procedure is also used in synthesizing a DNA
without any defects, which the world thinks is going to
be the Z+ generation.
14.
Future researchers may send nanobots into the bloodstream of human
beings. They reach the neurons and get themselves educated about the
patterns in the behavior, memories and emotions of the host. The
nanobots are later extracted and used to create a virtual counterpart of
the host. The duration of this process is said to be more than 50 years.