Hello all.. how are you?All,I hope all will be fine. This week my first blog is about a data mining in computer science subjects it's an important one in this subject let see in my blog…
Data mining is an process of extracting and sorting to through a large sets of data to identify patterns and relationships that can be help to solve a business problems to through a data and involving methods at the intersection of machine learning.
The actual data mining task is an semi automatic or it's an automated analysis of large quantity of data to extract previously unknown interesting pattern such as group of data records.
Data mining functionality are used to represent type of patterns that have to be discussed in the data mining tasks.
There are various data mining functionality which are as follows.
1- Data characteristics
2- Data discrimination.
3- Association analysis.
4- Classification.
5- Prediction.
6- Clustering.
7- Outer analysis.
8- Evolution analysis.
It's a summerized of a general characteristics of an object classes of data. The data will be to the user specified class is usually collected by a database query.and output of data characterised by multiple forms.
It is comparision of a general characteristics targeted as a class data objects of data contrasting classes can be represented by the users and equivalent data objects.
It analysis a set of items that furtherlly occur together in a transactional data sets.
It's represents the data classes are concepts of the objectives. The derived model establish by analysis of set of training data.
It's defines predict some unavailable data values are pending a trends.it can be a prediction of missing a some of numerical values are increase,decrease trends in timed related information.
It's a similar to classification but the classes are not predefined.the classes are represented by an data attributes.it is unsupervised learning.
Outliers are data elements that cannot be clustered in a given class or cluster. Which have multiple character from the general character of other data objects. analysis of this type of data can be very important to mine the knowledge.
It's will be classify the trends for objects and the whose behaviours changes over the some time.
These are called as a data mining process it's simple method I explained here…
Bye..
