The Concept of Data Mining and Knowledge Extraction Techniques

Renas Rajab Asaad; Revink Masoud  Abdulhakim

doi:10.48161/qaj.v1n2a43

Authors

Renas Rajab Asaad Department of Computer Science, Nawroz University, Duhok, Kurdistan Region of Iraq
Revink Masoud Abdulhakim Department of Computer Science Nawroz University Duhok, Kurdistan Region of Iraq

DOI:

https://doi.org/10.48161/qaj.v1n2a43

Keywords:

Data Mining, Classification, Knowledge Extraction, Artificial Intelligence

Abstract

Recent days, the concept of data mining and the need for it, its objectives and its uses in various fields, explain its procedures and tools, the type of data that is mined, and the structural structure of that data while simplifying the concept of databases, relational databases and the query language. Explain the benefits and uses of mining or mining data stored in specialized databases in various vital areas of society. Also, it is the process of analyzing data from different perspectives and discovering imbalances, patterns and correlations in data sets that are insightful and useful for predicting results that help you make a good decision. Let's bring back our mining example, when you plan to prospect for gold or any valuable minerals you first have to determine where you think the gold is to start digging. In the process of data mining we have the same concept. To mine data, you must first collect data from various sources, prepare it, and store it in one place, as nothing from data mining is related to the process of searching for the data itself. Currently, the company is storing data in what is called a Datawarehouse which we will talk about in a later stage in detail.

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