Data Mining

A few days back, one of my friends asked me about the technique behind relevant results shown to him by Flipkart via a push notification. So, I thought to clear this up here. Definitely, you guys have read the title of this post and you have guessed that I am going to talk about Data mining here. Breaking Data mining into data and mining, we say data is anything from a 1 MB image file to a 1 GB movie, it is the transactions you make or surf anything on the web. Mining is the extraction of something from large deposits. Eg. Gold mining from sands and rocks.

What is Data Mining?

Data Mining is the process of extraction of some knowledge patterns from a large amount of data stored in data warehouses, databases or some repository. Therefore, Data mining can also be called as Knowledge Mining. Data mining has a lot of application in Enterprise and Big Organizations. For eg. An Online shopping cart uses Data mining to show most shopped products to their customers to increase their sales. Data mining method often falls on the intersection of  Artificial Neural Network, Machine Learning, Statistics, and Databases.   
  

The Steps involved in Data Mining are:-

1.     After extracting the data, we clean the data. i.e Data is made free of noises.

2.     Data Integration.  i.e We Integrate data from different spaces.

3.     Data selection. i.e we select the data to be mined.

4.     Data Transformation. i.e data should be transformed in the form in which it can be mined.

5.     Data Mining. Here we use Data mining algorithm to find some patterns from the analyzed data.

6.     Pattern Recognition. Here we figure out model from the analyzed pattern.

7.     Visualize pattern. Here we show the figured pattern by some visual model like charts, etc.

So, In simple terms, we first collect and capture data in data warehouses and analyze some patterns from it and then show those results in some visual form.

Things Required for Data mining are:-

1.     Abundant Data.

2.     Powerful Computers.

3.     Data Mining Algorithms.

There are many techniques for data mining:-

1.     Artificial Neural Network. It uses some models that learn from the data available.

2.     Decision trees. This structure represents some rules at every branch to classify datasets.

3.     Rule Induction. It uses some old stats to analyze patterns.

Data Mining basically sets some model and referring those models we think of near future trends. Big Organisations are using data mining to increase their sales and help their users in every possible way. Facebook analyses our data and shows us relevant posts and recommend friends. Flipkart and Amazon look for geographical locations where their sales are more and can improve their services in that regions.

Data Mining algorithm are improved overs years to give us quick and right results. I hope this information helps and finally Thank you.