DATA MINING

Presented To:

Madam Nadia Gul

Presented By:

Bi Bi Mariam

What is data…???

Data are any facts, numbers, or text that can be processed by a computer. Today, organizations are accumulating vast and growing amounts of data in different formats and different databases.

Data Warehouse

In computing, a data warehouse or enterprise data warehouse (DW, DWH, or EDW) is a database used for reporting and data analysis.

KDD Process

The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:

• Selection• Pre-processing• Transformation• Data Mining• Interpretation/EvaluationWe will discuss now “Data Mining”

What is Data Mining…????

Data mining (the analysis step of the "Knowledge

Discovery in Databases" process or KDD), an interdisciplinary subfield of computer science ,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.

Background

The manual extraction of patterns from data has occurred for centuries.

• Bayes' theorem (1700s)• Regression analysis (1800s)• Neural networks, cluster analysis, genetic algorithms

(1950s) • Decision trees (1960s) • Support vector machines (1990s)

How does data mining work?

Data mining involves six common classes of tasks:

• Anomaly detection• Association rule learning• Clustering• Classification • Regression• Summarization

Major Elements

Data mining consists of five major elements:

1. Extract, transform, and load transaction data onto the data warehouse system.

2. Store and manage the data in a multidimensional database system.

3. Provide data access to business analysts and information technology professionals.

4. Analyze the data by application software. 5. Present the data in a useful format, such as a graph or

table.

Technological Infrastructure Required?

There are two critical technological drivers:

1. Size of the database2. Query complexity

Notable Uses

Data mining is used in the following fields mentioned below:• Games• Business• Science and engineering• Human rights• Medical data mining• Visual data mining• Music data mining

References

http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm#

http://en.wikipedia.org/wiki/Data_mining#

THANK YOU