Data Mining Concepts and Techniques


Resource history | v2 (current) | updated by jjones

Details

Data Mining Concepts and Techniques

| updated by jjones | Edit resource "Data Mining Concepts and Techniques"
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

| 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

authors

topics

about Data mining
v1 | attached by jjones | Add topic "Data mining"

resources

This resource has no history of related resources.