Using The Web Data Mining On Business World

Web Data Mining to perform various searches on the Internet the information from large potential customers to separate. It is well organized and structured or depending on the raw data can be. Web Data Mining using a simple database program that money can be invested in an expensive program.

These derived decision rules for classifying the data. Clear decision tree methods include Classification and regression tree data mining and Chi Square Automatic Interaction Detection cart known as data mining as CHAID know. CART and CHAID decision tree data mining techniques for classification of the collected data. Without classification prediction rules that can be applied to provide a set of collected data. Two-way splits while CHAID segments cart dataset using Chi-square test to make way for multi-sector division. Less data preparation than CHAID Cart required.

Understanding the customer action

will help in the process of data mining services, data mining easier, and quality.

After the demography

Demographic data such as the mine, depending on geography as location and socio-economic background. As a source of data collection can make use of government statistics.

Better serve our customers in the use of casual conversation

Smallest details of your interaction with our customers to understand and use their service.

Place a desktop database to collect information. More information is collected feeding information to the specific template you will see that you can prepare. A desktop database, it is easy to change later if and when needed.

Maintaining confidentiality

The display, it is necessary to ensure that you or your team members to gather information or data privacy laws are not violated offer. Once trust is lost, you lose the customer, it may be that faith is the foundation of any relationship, whether it's a business relationship.

A large amount of information that business as usual, government and R & D organizations is collected. They are usually stored in large data warehouses or airports.

Data mining is the automated analysis of large data sets, patterns and trends that might otherwise be overlooked. It is largely to understand the consumer market research, product analysis, analysis of demand and supply, telecommunications and so on is used in many applications. Mathematical algorithm in data mining and analytical skills to achieve the desired results based on large database collection to drive.

Web mining, mathematical algorithms and software integrated with the use of statistical techniques that are necessary.

A number of various technical methods such as data mining are as follows:

clustering
data Compression
Learning classification rules
Finding the dependence of the network
Analysis of the changes
Detection of anomalies

The software allows users to analyze large databases of business decision to provide solutions to problems. Data mining technology and business solutions do not like statistics. The data mining software that customers will be intrigued by the new product gives an idea.

This text, web, audio and video data mining, graphics, data mining, relational databases, and is available in various forms, such as social networker. Partitioning software, statistical analysis software, text analysis, mining and information retrieval software and visual software: data mining is the main types of software.