Big data concept, K-means, Optics and Cure algoritms applying and performance measurement

In this thesis, data mining and big data topics will be discussed. The reason why I deal with big data is that it has become an important concept and plays a major role in the decision-making process of almost all sectors. A lot of people talk about big data, but unfortunately, only a few know what it is. In this thesis, we will learn what big data means, how to apply it to the modern world and what kind of features it has. Data mining is an automated data search based on the analysis of large amounts of information. The aim is to identify trends and patterns that are impossible in the overall analysis. Complex mathematical algorithms are used to segment the data and evaluate the likelihood of subsequent events. This can help organizations evaluate their performance more accurately. Therefore, Data Mining is an important concept for increasing our living standards and making our lives easier. There are many algorithms for each technique of data mining. One of the difficulties of data mining is the fact that the number of algorithms is too high and which algorithm is not always more successful. Therefore, some of the algorithms will be discussed and an attempt will be made to find out which algorithm should be used in which case. Keywords: Big Data, Data mining, K-means, Optics, Cure