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JScholar Publishers
J Comput Sci Software Dev 2022 | Vol 2: 303
Introduction
The term big data arise due to the huge amount of data
which became difficult to analyze, store and process in traditional
ways, because of its complexity. The increasing in the amount of
data is correlated with the increasing of different data generating
sources, such as internet, mobile devices social media and sensors.
The volume, variety and velocity are the main characteristics of
big data due to these characteristics the traditional techniques
cannot handle the management and mining processes of the
data. New techniques are needed to manage, process and mine
the big data. Big data mining is the ability to discover and extract
valuable and useful information from very large datasets. Big
data mining technologies and algorithms opened door for new
research areas.
This paper presents the concepts of big data, data min-
ing and its algorithms. Also discuss techniques used to big data
mining and the challenges that face it.
The rest of this paper is structured as follows: Section
2, presents big data and its characteristics. The data mining con-
cept reviewed in section 3. Section 4, describe the data mining
algorithms. An overview of mining big data presented in section
5. In section 6, we discuss the challenges in mining big data. Sec-
tion 7, summarizes the techniques for big data mining. Section
8, presents the evolution to big data analytics techniques. Finally,
we conclude this paper in section 9.
