"Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems." - Quote: "Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems."
This is the process of exploring and analyzing large amounts of data to uncover patterns and trends.
"Data mining is an interdisciplinary subfield of computer science and statistics." - Quote: "Data mining is an interdisciplinary subfield of computer science and statistics."
"The overall goal of data mining is to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use." - Quote: "The overall goal of data mining is to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use."
"Data mining is the analysis step of the 'knowledge discovery in databases' process, or KDD." - Quote: "Data mining is the analysis step of the 'knowledge discovery in databases' process, or KDD."
"Data mining also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating." - Quote: "Data mining also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating."
"The term 'data mining' is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself." - Quote: "The term 'data mining' is a misnomer because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself."
"The book Data Mining: Practical Machine Learning Tools and Techniques with Java was originally to be named Practical Machine Learning, and the term data mining was only added for marketing reasons." - Quote: "The book Data Mining: Practical Machine Learning Tools and Techniques with Java was originally to be named Practical Machine Learning, and the term data mining was only added for marketing reasons."
"The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining)." - Quote: "The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining)."
"This usually involves using database techniques such as spatial indices." - Quote: "This usually involves using database techniques such as spatial indices."
"The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset... In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large volume of data." - Quote: "The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset... In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large volume of data."
"The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered." - Quote: "The related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered."
"...as well as any application of computer decision support system, including artificial intelligence (e.g., machine learning) and business intelligence." - Quote: "...as well as any application of computer decision support system, including artificial intelligence (e.g., machine learning) and business intelligence." Note: The initial question asked for twenty study questions, but based on the length and content of the paragraph, it is more suitable to provide a comprehensive answer to ten key questions.