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Knowledge Discovery Process from Databases
My previous article discussed what Big Data is and how that solves the complexity and the validity of Data. Here in this article, I discuss the solution we have. That is data mining. Data Mining is the process of extracting knowledge from collected data.
Data Mining - Extraction of interesting(Non-trivial(directly it shouldn’t be hidden), implicit, previously unknown and potentially useful) information and patterns from data in large databases.
That’s important to identify that query processing and Expert systems are not considered Data mining techniques.
Knowledge Discovery Definition
Knowledge discovery is defined as a “nontrivial process of identifying valid, novel, potentially useful and ultimately understandable patterns in data,” — Fayyad (Data Mining and Knowledge Discovery in Real Life Applications, 2012
Data Mining Process
Knowledge discovery is a process having several steps. The first step is to extract data from different sources. The next steps are as follows. Cleaning the Data - This is a preprocessing step, like removing inconsistencies, normalization, and conversion(nominal to binary). After this step, we store data in…
