Data Warehouses and Data Mining

Data Mining

Today, there are many challenges in the data mining system. Organization worldwide generate large amount of data that is mostly unorganized. Data mining is the technique of extracting meaningful information from large and mostly unorganized data banks. It is the process of performing automated extraction and generating predictive information from large data banks. The extraction of meaningful information from a large data bank is otherwise known as knowledge discovery. There are varied views regarding the usage of the term knowledge discovery for data mining. Data mining is the sorting through data to identify patterns and establish relationships. It is the computational process of discovering patterns in Big Data involving methods at the intersection of data science, A.I, Data base systems. There are number of data mining system are available. Data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Everyday people are using vast data and these data are in different fields. The data may be in form of audio, images, text, video, and so on. The applications and trends of data mining areas: Retail industry, financial data analysis. As we can see that there are many MNC's and organizations deals in different places of the different countries. Every place of operation may generate big data. This type of big data is available in the terra byte form which has drastically changed in the area of data science and data base system. To analyze and make a decision of this big amount of big data, we need different techniques or methods called data mining.