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Institution:
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George Mason University
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Subject:
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Description:
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Credits: 3 Cross-Listed with IT 750 Concepts and techniques in data mining and multidisciplinary applications. Topics include databases; data cleaning and transformation; concept description; association and correlation rules; data classification and predictive modeling; performance analysis and scalability; data mining in advanced database systems, including text, audio, and images; and emerging themes and future challenges. Prerequisites CS 688 or permission of instructor. Notes Term project and topical review required. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(703) 993-1000
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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