Data Mining Tools, Understanding Data Mining

<h1>Data Mining Tools, Understanding Data Mining</h1>Author: <a title="Jeff Smith" href="http://www.articlesbase.com/authors/jeff-smith/39816.htm">Jeff Smith</a> <a href="http://www.karmatechnologies.co.uk/datamining.htm">Data mining</a> basically means pulling out important information from huge volume of data. Data mining tools are used for the purposes of examining the data from various viewpoints and summarizing it into a useful database library. However, lately <a href=" <a target="_blank" href="http://www.karmatechnologies.co.uk/datamining.htm">Data">http://www.karmatechnologies.co.uk/datamining.htm">Data</a> mining tools</a> have become computer based applications in order to handle the growing amount of data. Data mining tools are also sometimes referred to as knowledge discovery tools.

As a concept, data mining has always existed since the past and manual processes were used as data mining tools. Later with the advent of fast processing computers, analytical software tools, and increased storage capacities automated data mining tools were developed. These data mining tools drastically improved the accuracy of analysis, data mining speed, and also brought down the costs of operation. <a href="http://www.karmatechnologies.co.uk/datamining.htm">Data mining tools</a> essentially facilitate following major elements:

<ul>

<li>Pull out, convert, and load data to a data warehouse system</li>

<li>Collect and handle the data in a database system</li>

<li>Allow the concerned personnel to retrieve the data</li>

<li>Data analysis</li>

<li>Data presentation in a format that can be easily interpreted for further decision making</li>

</ul>

Data mining tools explore the correlations, associations, and trends in the stored data that are generally based on the following types of relationships:

<ul>

<li>Associations - simple relationships between the data</li>

<li>Clusters - logical correlations are used to categorise the collected data</li>

<li>Classes - certain predefined groups are drawn out and then data within the stored information is searched based on these groups</li>

<li>Sequential patterns - this helps to predict a particular behavior based on the trends observed in the stored data</li>

</ul>

Data mining tools certainly help a great deal when drawing out business plans, advertising strategies, discount plans, and so on. Some important factors to consider when selecting a data mining tool include the platforms supported, algorithms on which they work (neural networks, decisions trees), input and output options for data, database structure and storage required, usability and ease of operation, automation processes, and reporting methods.About the Author: Jeff Smith is the managing director of Karma Technologies, a company that specialises in building quality websites, ecommerce sites, desktop applications and company Intranets. Jeff feels strongly about implementing ways to be green into their business practices, to a point they are almost a paper-free company. At Karma they feel strongly about green issues.Article Source: <a href="http://www.articlesbase.com/">ArticlesBase.com</a> - <a href="http://www.articlesbase.com/databases-articles/data-mining-tools-understanding-data-mining-382636.html" title="Data Mining Tools, Understanding Data Mining">Data Mining Tools, Understanding Data Mining</a>

Data mining basically means pulling out important information from huge volume of data. Data mining tools are used for the purposes of examining the data from various viewpoints and summarizing it into a useful database library. However, lately Data mining tools have become computer based applications in order to handle the growing amount of data. Data mining tools are also sometimes referred to as knowledge discovery tools.
As a concept, data mining has always existed since the past and manual processes were used as data mining tools. Later with the advent of fast processing computers, analytical software tools, and increased storage capacities automated data mining tools were developed. These data mining tools drastically improved the accuracy of analysis, data mining speed, and also brought down the costs of operation. Data mining tools essentially facilitate following major elements:

Pull out, convert, and load data to a data warehouse system

Collect and handle the data in a database system

Allow the concerned personnel to retrieve the data

Data analysis

Data presentation in a format that can be easily interpreted for further decision making

Data mining tools explore the correlations, associations, and trends in the stored data that are generally based on the following types of relationships:

Associations - simple relationships between the data

Clusters - logical correlations are used to categorise the collected data

Classes - certain predefined groups are drawn out and then data within the stored information is searched based on these groups

Sequential patterns - this helps to predict a particular behavior based on the trends observed in the stored data

Industries which cater heavily to consumers in retail, financial, entertainment, sports, hospitality and so on rely on data mining tools. The tools help them to study to the buying patterns of their consumers and hence plan a strategy for the future to improve sales. For e.g. restaurant might want to study the eating habits of their consumers at various times during the day. The data would then help them in deciding on the menu at different times of the day.
Data mining tools certainly help a great deal when drawing out business plans, advertising strategies, discount plans, and so on. Some important factors to consider when selecting a data mining tool include the platforms supported, algorithms on which they work (neural networks, decisions trees), input and output options for data, database structure and storage required, usability and ease of operation, automation processes, and reporting methods.

Jeff Smith is the managing director of Karma Technologies, a company that specialises in building quality websites, ecommerce sites, desktop applications and company Intranets. Jeff feels strongly about implementing ways to be green into their business practices, to a point they are almost a paper-free company. At Karma they feel strongly about green issues.

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Article Tags: Data Mining, Data Mining Software's, Data Mining Tools

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