Data Mining: Concepts and Techniques
•Data cleaning, a process that removes or transforms noise and inconsistent data •Data integration, where multiple data sources may be combined •Data selection, where data relevant to the analysis task are retrieved from the database •Data transformation, where data are transformed or consolidated into forms appropriate for mining
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Data Mining: Concepts and Techniques
textbooks.elsevier.com1.5. Brie°y describe the following advanced database systems and applications: object-relational databases, spatial databases, text databases, multimedia databases, the World Wide Web. Answer: † An objected-oriented database is designed based on the object-oriented programming paradigm
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Digital Evidence and Computer Crime, Third Edition
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Data Mining: Concepts and Techniques
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www.irjet.netData Preprocessing This process includes methods to remove any null values or infinite values which may affect the accuracy of the system. The main steps include Formatting, cleaning and sampling. Cleaning process is used for removal or fixing of some missing data there may be data that are incomplete.