Data Mining Tools - Understanding Data Mining

Data mining basically means pulling out importantfollowing types of relationships:
information from huge volume of data. Data- Associations - simple relationships between the
mining tools are used for the purposes ofdata
examining the data from various viewpoints and- Clusters - logical correlations are used to
summarizing it into a useful database library.categorise the collected data
However, lately these tools have become- Classes - certain predefined groups are drawn
computer based applications in order to handle theout and then data within the stored information is
growing amount of data. They are alsosearched based on these groups
sometimes referred to as knowledge discovery- Sequential patterns - this helps to predict a
tools.particular behavior based on the trends observed
As a concept, data mining has always existedin the stored data
since the past and manual processes were usedIndustries which cater heavily to consumers in
as data mining tools. Later with the advent ofretail, financial, entertainment, sports, hospitality
fast processing computers, analytical softwareand so on rely on these data methods of
tools, and increased storage capacities automatedobtaining fast answers to questions to improve
tools were developed, which drastically improvedtheir business. The tools help them to study to
the accuracy of analysis, data mining speed, andthe buying patterns of their consumers and hence
also brought down the costs of operation. Theseplan a strategy for the future to improve sales.
methods of data mining are essentially employedFor e.g. restaurant might want to study the eating
to facilitate following major elements:habits of their consumers at various times during
- Pull out, convert, and load data to a datathe day. The data would then help them in
warehouse systemdeciding on the menu at different times of the
- Collect and handle the data in a databaseday. Data mining tools certainly help a great deal
systemwhen drawing out business plans, advertising
- Allow the concerned personnel to retrieve thestrategies, discount plans, and so on. Some
dataimportant factors to consider when selecting a
- Data analysisdata mining tool include the platforms supported,
- Data presentation in a format that can be easilyalgorithms on which they work (neural networks,
interpreted for further decision makingdecisions trees), input and output options for data,
We use these methods of mining data to exploredatabase structure and storage required, usability
the correlations, associations, and trends in theand ease of operation, automation processes, and
stored data that are generally based on thereporting methods.