Generally, “Mining” is the process of extraction of some valuable material from the earth e.g. coal mining, diamond mining etc. Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining knowledge from data.
Main Purpose of Data Mining
Basically, the information gathered from Data Mining helps to predict hidden patterns, future trends and behaviors and allowing businesses to take decisions.
Technically, data mining is the computational process of analyzing data from different perspective, dimensions, angles and categorizing/summarizing it into meaningful information.
Data Mining can be applied to any type of data e.g. Data Warehouses, Transactional Databases, Relational Databases, Multimedia Databases, Spatial Databases, Time-series Databases, World Wide Web.
Data Mining as a whole process
The whole process of Data Mining comprises of three main phases:
1. Data Pre-processing – Data cleaning, integration, selection and transformation takes place
2. Data Extraction – Occurrence of exact data mining
3. Data Evaluation and Presentation – Analyzing and presenting results
#DataMining #DataScience #Probyto #ProbytoAI
Subscribe and follow us for latest news in Data Science, Machine learning, technology and stay updated!