Data Mining Tutorial

by Randall C. Moore

What is Data Mining?Data Mining is a set of method that applies to large and complex databases. This is to eliminate the randomness and discover the hidden pattern. As these data mining methods are almost always computationally intensive. We use data mining tools, methodologies, and theories for revealing patterns in data. There are too many driving forces present. And, this is the reason why data mining has become such an important area of study.Why Data Mining?As data mining is having spacious applications. Thus, it is the young and promising field for the present generation. It has attracted a great deal of attention in the information industry and in society. Due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus, we use information and knowledge for applications ranging from market analysis. This is the reason why data mining, known as knowledge discovery from data.Table of ContentsChapter 1 Introduction to Data MiningChapter 2 Best Data Mining ToolsChapter 3 Data Mining ArchitectureChapter 4 Disadvantages of Data MiningChapter 5 Data Mining Terminologies Chapter 6 Data Mining Applications and Use Cases Chapter 7 Best Data Mining Books To Learn Data Mining Chapter 8 Data Mining Process Chapter 9 Data Mining TechniquesChapter 10 Text Mining in Data MiningChapter 11 Data Mining Software SystemsChapter 12 Data Analysis Software Systems .Chapter 13 Advantages of Data Mining in Machine LearningChapter 14 Data Mining and Data ScienceChapter 15 Data Mining Algorithms Chapter 16 Clustering in Data Mining Chapter 17 Data Mining and Knowledge Discovery DatabaseChapter 18 Data Mining Query Language .Chapter 19 Data Mining Interview Questions Answers-Part IChapter 20 Data Mining Interview Questions Answers-Part IIChapter 21 Data Mining Interview Questions Answers-Part III

155 pages, Paperback

Published March 14, 2020