Data Mining Concepts and Techniques
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Data Mining Concepts and Techniques
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- Title
- Data Mining Concepts and Techniques
- Type
- Paper
- Created
- 2010-01-01
- Description
- Understand the need for analyses of large, complex, information-rich data sets. Identify the goals and primary tasks of the data-mining process. Describe the roots of data-mining technology. Recognize the iterative character of a data-mining process and specify its basic steps. Explain the influence of data quality on a data-mining process. Establish the relation between data warehousing and data mining. Data mining is an iterative process within which progress is defined by discovery, through either automatic or manual methods. Data mining is most useful in an exploratory analysis scenario in which there are no predetermined notions about what will constitute an "interesting" outcome. Data mining is the search for new, valuable, and nontrivial information in large volumes of data. It is a cooperative effort of humans and computers. Best results are achieved by balancing the knowledge of human experts in describing problems and goals with the search capabilities of computers.
- Link
- https://semanticscholar.org/paper/d76b49bb538e01576e744ab68033a9f643cc4483
- Identifier
- DOI: 10.5860/choice.49-3305
Data Mining Concepts and Techniques
see v1 | created by semantic-scholar-bot | Crawl Semantic Scholar Open Research Corpus
- Title
- Data Mining Concepts and Techniques
- Type
- Paper
- Created
- 2010-01-01
- Description
- Understand the need for analyses of large, complex, information-rich data sets. Identify the goals and primary tasks of the data-mining process. Describe the roots of data-mining technology. Recognize the iterative character of a data-mining process and specify its basic steps. Explain the influence of data quality on a data-mining process. Establish the relation between data warehousing and data mining. Data mining is an iterative process within which progress is defined by discovery, through either automatic or manual methods. Data mining is most useful in an exploratory analysis scenario in which there are no predetermined notions about what will constitute an "interesting" outcome. Data mining is the search for new, valuable, and nontrivial information in large volumes of data. It is a cooperative effort of humans and computers. Best results are achieved by balancing the knowledge of human experts in describing problems and goals with the search capabilities of computers.
- Link
- https://semanticscholar.org/paper/d76b49bb538e01576e744ab68033a9f643cc4483
- Identifier
- DOI: 10.5860/choice.49-3305
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topics
(detached) Computer science
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