Forms of data preprocessing – Data in the warehouse, could be noisy. incomplete, and full of discrepancy. Rather, sometimes it is even difficult to record the correct data and retrieve it because of the noisy data present there. Consider the figure drown below: Data transformation -2, 32, 100, 59, 48-0.02, 0.32, 1.00, 0.59, 0.48 The…
Data cleaning means cleaning the inaccurate noise and other discrepancies in the data. Always remember, that the real-world data tends to be noisy, inconsistent, and incomplete Data cleaning can also be termed to be data cleaning. Data cleaning routine attempts to fill in missing values, smooth out noise, and also to correct inconsistencies in the…
Data preprocessing in data mining is a must step. but before learning about data preprocessing we need to learn what is process. What is a process? A process is something that takes in an input (data) and produces an output (information). Consider the below image. The main job of data processing is to simply enter…
Functionalities of data mining – We have observed different types of databases and information repositories on which data mining can be performed. Let us now examine the kinds of data patterns that can be mined. Basically, data mining tasks are divided into two categories as shown in the figure above: Consider the Data Mining Patterns…
The abundance of data, coupled with the need for powerful data analysis tools has been described as a data-rich but information-poor situation. Data mining refers to extracting or “mining” knowledge from large amounts of data. The term is a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold…
