Data Mining

목차

1.Term Definition 1
2. Data mining and Knowledge Finding
Data mining Development Background
Data mining and SQL
Data mining and the other decision making methodologies
Data mining OLAP(OnLine Analytic Processing)
Data Visualisation
Static Analysis

3. Steps to Data Mining
Identifying the data
Getting the data ready
Mining the data
Getting useful results
Identifying actions
Implementing the actions
Evaluating the benefits
Determining what to do next
Carrying out the next cycle

4.Selection of Data mining Tools
Data mining Task
Associations
Time Sequences
Clustering
Classification
Forecasting/Prediction
Understanding Data mining Algorithm
Association rule
Decision Tree
Neural Network
Genetic Algorithm

5.Data mining and Data Warehouse
Data Warehouse Concept
Data Structure in Data Warehouse
Data Warehouse Tasks for the effective Data mining 7

본문내용

1.0 Introduction
: Data mining is the search for valuable information in large volumes of data. It is a cooperative effort of humans and computers. Humans design databases, describe problems and set goals. Computers sift through data, looking for patterns that match these goals (Sholom M. W & Nitin I. 1998). Even though an organisation collects data, codify them well and build Database or Data Warehouse, the organization can’t be competitive and productive at all by just storing them. Only when the useful information is retrieved and new knowledge is created from Data Warehouse, we can call it a perfect data warehouse creating various profitable resources. Therefore Data mining is accepted as one of the best ways retrieving hidden information, unexpected patterns and new rules.

Although Data mining is the primary stage, Data mining tools and methodologies are commonly used to utilize the data collected from external and internal company in the various industries such as Finance, Manufacture, Health etc. Data mining in the Data Warehouse enables us to find new information, relationship, and patterns.
2.0 Findings
2.1 Term Definition
: Data mining is the process of posing various queries and extracting useful information, patterns, and trends often previously unknown from large quantities of data possibly stored in databases (Thuraisingham, 1998).

키워드

Data Mining,   Data Warehouse,   mining Task,   mining Algorithm,   Data Visualisation