Data Mining and the Types

kombatnatuka (54)in Zero to Infinity • 2 years ago (edited)

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Hello fellow steemians, today talk about the concept of data mining. what is data mining that we have all been hearing about. Data Mining is what is done when giving large quantities of data and we are to extract the meaningful information from that sets of raw data. This is done by making analysis into what type of information is useful and for what by arranging them in a useful way that it can be used for processing.

Why data mining

There are lot of chunks of data that has been produced every day in today's world. Most of this data is unorganised and therefore are not useful to any company or organisations. The term big data is used to describe large chunk of data that are being produced by humans each and every day and according to research it is increase at least twice its size every year. This is what we term as big data. Big data is good but having all this an organised detail becomes irrelevant or useful to anybody this is why there is a need for data mining to get all useful information that is needed for processing.

Types of data mining

There are two types of data mining today. We have the predictive data mining and the descriptive data mining analysis.

Predictive Data Mining Analysis

As the name suggests predictive data mining tries to analyse the event that might take place in a business. In this manner I tried to find out what could have another possible outcome in a day or two maybe even a month or more so. The predictive data man analysis can be further divided into four different types classification data analysis, prediction analysis,regression analysis, and time serious analysis.

Classification Data Analysis
Classification analysis is used when we want retrieve meaningful information about a set of dat or metadate. This types of data analysis is programmed in such a way that the it is able to identify and separate the types of data into groups that are or similar use or are of the same type.

Prediction Analysis

Source

This type if data analysis algorithm is able to group and analyse data to find the relationship that exist between two two variables or an independent variable this helps to be able to predict the outcome that might take place. This type of predictive analysis is mostly used in retail shops to find out which product is mostly bought and to keep the stocks full.

Regression Analysis
In regression analysis, are the word is used in mathematics it is the study that deal with two variables with one dependent on the other and not the other way round. This type if data analysis is used wgen data analyst want to make forecast of certain data. It can also help to find the variable changes of independent variables has on the dependent variable.

Time Serious Analysis
Time serious analysis this type of data mining analysis is based on time. It categorised a data based on the time at which an event is taking place. This could be minutes, hours, days or even months. Most organisations today produce large chunk of data every day. With a Time series analysis algorithm this is last chunk of data can be analysed to produce meaningful information that can be used for decision making. What do not make use of this type of data analysis and therefore have to invest in other forms of data analysis.

Descriptive Data Analysis

Source

Disputed determining have a name with your sausages he's used to organised a chunk of data into categories that are useful for data processing. This means that it will arrange the data in a set of given criteria. The descriptive data analysis can be classified into four types. We have the Clustering Analysis,Sequence Discovery Analysis, Association Rules Analysis and the Summarization Analysis.

Clustering Analysis

In this types of data analysis that the data is arranged in a meaningful clusters that are of the characteristics. This data mining analysis is sometimes confused with the Classification data analysis in the fact that this type of data analysis also arrange it data in clusters but the difference is that Clustering Analysis arrange the data based on it's own without any predefined Classification given to it. But the Classification data analysis is done based on predefined Classification that assigned to the algorithms.

Sequence Discovery Analysis

The sequence Discovery analysis main purpose is to study given data and find any sets of patterns that are interesting on the basis of objective or subjective of the pattern. Sometimes confuse it with the time serious but the time serious analysis studing a d use numeric data whiles the sequence discovery analysis deals with the discrete values or sets of data that are discrete.

Association Rules Analysis

This type of data mining analysis has very unique way of searching for information in a give dat by being able to identify hidden patterns in large chunk of data. It has the ability to find relationships that exist between two variables in a group of data.
It helps to identify the hidden concurrence of patterns that appear very frequently in the data. This type of data mining analysis is used y programmers ro create machine learning programs.

The Summarization data Analysis.

This type of data analysis is used when when want to group some kind of data in a group that can be easily identified and understood and in a way that more compact.

Conclusion
These types of data mining analysis techniques will help organisations and individuals to make good decisions when planning to get a data maining technique for their businesses. This will help them to produce the best result possible.This will help to increase their productivity and revenues.
Thank you.

References
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2 years ago in Zero to Infinity by kombatnatuka (54)

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Data Mining and the Types

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