Data Mining
There was a time when many were attracted to the term “Data Mining” and there was a craze to know and learn about data mining. This article will give you an idea about this term. Mining is a process to discover something specific which is mixed or compounded with so many other things. Data mining is also known as Knowledge Discovery in Data.
Data mining is defined as a process used to extract usable data from a larger set of any raw data. It means analysing data patterns in large batches of data using one or more software. Data mining has applications in many areas, such as science and analysis. Businesses can learn more about their customers as an application of data mining, and develop more efficient strategies relevant to different business functions and in turn exploit resources in a more productive and informative way. This allows organisations to get closer to their targets and to make the right choices. Data mining requires efficient data collection and storage, as well as the processing of computers. Data mining uses sophisticated mathematical algorithms to segment the data in order to determine the likelihood of future events.
Key features of data mining includes, automatic pattern predictions based on trend and behaviour analysis, Prediction based on likely outcomes, creation of decision-oriented information, Focus on large data sets and databases for analysis and clustering based on finding and visually documented groups of facts not previously known. This list is big but the above covers the most.
For creating a more powerful system, more data is required to be handled and stored and to run queries, more powerful systems and software is required. These techniques re useful in research, use for prediction and is the also the ground for AI. The applications are unlimited and benefits are many.
12-09-2020