Describe the steps involved in data mining when viewed as a process of knowledge discovery. The key objective of this paper is to provide an overview of evolution of data mining from its beginning to the present stage of development. Data Selection − In this step, data relevant to the analysis task are retrieved from the database. Database technology began with the development of data collection and database creation mechanisms that led … data mining technology can find the evolution of the object characteristics and trends; streaming data are clustered and compared to find interesting patterns. It’s a subfield of computer science which blends many techniques from statistics, data science, database theory and machine learning. Big Data. So Data mining is the result of evolution of information technology (b) ... We have presented a view that data mining is the result of the evolution of database technology. Data Transformation − In this step, data is transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations. Human beings began to store information very long ago. Database technology began with the development of data collection and database creation mechanisms that led to the development of effective mechanisms for data management including data storage and retrieval, and query and transaction processing. Can you present such views based on the historical progress of this discipline? Do you think that data mining is also the result of the evolution of machine learning research? Analyzing data in non-traditional ways provided results that were both surprising and beneficial. (a) Is it another hype? (c) Explain how the evolution of database technology led to data mining. 2.2 The evolution process of data mining 1960s, database technology, and information technology has gradually developed from the basic document Data mining is the computational process of exploring and uncovering patterns in large data sets a.k.a. In the ancient times, elaborate database systems were developed by government offices, libraries, hospitals, and business organizations, and some of the basic … 4- Explain how the evolution of database technology led to data mining. Data mining refers to the process or method that extracts or “mines” interesting knowledge or patterns from large amounts of data. Answer: Database technology began with the development of data collection and database creation mechanisms that, led to the development of effective mechanisms for data management including data storage and retrieval, and query and transaction processing. Data Mining began in the 1990s and is the process of discovering patterns within large data sets. The use of Data Mining came about directly from the evolution of database and Data Warehouse technologies. d. Explain how the evolution of database technology led to data mining? A Timeline of Database History Ancient Times. The large number of database systems offering query and transaction processing eventually and naturally led to the need for data analysis and understanding. Data Mining. (c) Explain how the evolution of database technology led to data mining. Address the same for the fields of statistics and pattern recognition We have presented a view that data mining is the result of the evolution of database technology. The field of data mining has seen enormous success from the inception, in terms of wide-ranging application achievements and in terms of scientific advancement and understanding. Summary or aggregation operations d. 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