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Title:

Data Mining Technology

Url:

https://www.megaputer.com/polyanalyst/

Publisher:

Megaputer Intelligence, Inc

Description: This website provides a basic overview of Data Mining and some applications for the process. The site lists some typical tasks addressed by data mining, such as identifying cross-sell opportunities and predicting a peak load of a network. There are also some academic resources on such topics as "Anomaly Localization," "Generating Non-Linear Functions," and "Symbolic Knowledge Discovery."

LC Classification:

Bibliography. Library science. Information resources (General) -- Subject bibliography -- Computer science. Electronic data processing
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Digital computers -- Real-time data processing
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Algorithms
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Data mining
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Evaluation of data processing activities
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Study and teaching. Research
Science -- Mathematics -- Philosophy -- Mathematical logic -- Constructive mathematics -- Algorithms
Social sciences -- Industries. Land use. Labor -- Industries. Land use. Labor -- Management. Industrial management -- Theory. Method. Relation to other subjects -- Electronic data processing. Information technology

GEM Subject:

Mathematics
Mathematics -- Technology
Mathematics -- Applied mathematics
Mathematics -- Algebra

Key Concept:

Computer science -- Data processing

Resource Type:

Collection
Reference Material

Format:

Document -- PDF
Document -- HTML

Audience:

Educator
Learner
Professional/Practitioner

Education Level:

Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education

Language:

English

Rights:

Megaputer Intelligence, Inc.

Access Rights:

Free access

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Source:

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