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Title: Topic in Depth - Data Mining
Url: https://amser.org/index.php?P=AMSER--ViewFolder&UN=amser&FN=topicindep...
Publisher: Internet Scout Research Group
Description: This Topic in Depth explores data mining, also known as knowledge discovery in databases. Data mining is used to extract implicit, previously unknown, but potentially useful information from raw data. It is a blend of three main subjects: statistics, artificial intelligence, and machine learning.


Often, true data mining is characterized by a self-acting program and a unique blend of knowledge discovery and prediction that allows individuals and businesses to sort and classify very large amounts of data quickly and efficiently. Data mining programs can be tailored to meet the needs of the users, whether that need is for the forecasting of future investments, or simply the need to recognize patterns among the data being analyzed.
LC Classification: Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Data mining
GEM Subject: Science -- Technology
Mathematics -- Applied mathematics
Key Concept: Computer science -- Data processing
Resource Type: Collection
Reference Material
Instructional Material
Format: Document -- HTML
Audience: Educator
Learner
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: Internet Scout
Access Rights: Free access
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Source Type: Internet Scout
Source: Topic in Depth
Full Record Views: 2
Cumulative Rating: NOT YET RATED
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