Mining Educational Data to Analyze Students’ Performance.
Data Mining Businesses can receive many benefits from data mining. Which benefits they receive, however, can also depend on the way in which their data mining is undertaken. Predictive analytics are used to understand customer behavior, and businesses use the behavior of the customer in the past to attempt to determine what the customer will do in the future (Cabena, et al., 1997).
At present, educational data mining tends to focus on. developing new tools. for discovering patterns in data. These patterns are generally about the microconcepts involved in learning: one - digit multiplication, subtraction with carries, and so on. Learning analytics—at least as it is currently contrasted with data mining—focuses on.
DATA MINING: CONCEPTS, BACKGROUND AND METHODS OF INTEGRATING UNCERTAINTY IN DATA MINING Yihao Li, Southeastern Louisiana University Faculty Advisor: Dr. Theresa Beaubouef, Southeastern Louisiana University ABSTRACT The world is deluged with various kinds of data-scientific data, environmental data, financial data and mathematical data.
The Journal of Educational Data Mining (JEDM; Impact factor: 3.68; ISSN: 2157-2100) is an international and interdisciplinary forum of research on computational approaches for analyzing electronic repositories of student data to answer educational questions.It is completely and permanently free and open-access to both authors and readers.
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Big Data and analytics in higher education: Opportunities and challenges Ben Daniel Dr. Ben Daniel is a Senior Lecturer in Higher Education, and heads an Educational Technology Group, at the University of Otago—New Zealand. His current research is focused on understanding the value of Big Data and learning analytics in higher education.
Title: Data mining research papers pdf, Author: tamarakziq, Name: Data mining research papers pdf, Length: 5 pages, Page: 1, Published: 2018-03-24 Issuu company logo Issuu.