Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Advances in Instance Selection for Instance-Based Learning Algorithms
Data Mining and Knowledge Discovery
Fuzzy data mining for interesting generalized association rules
Fuzzy Sets and Systems - Theme: Learning and modeling
The use of computer-based information systems by German managers to support decision making
Information and Management
Data Mining in E-learning (Advances in Management Information)
Data Mining in E-learning (Advances in Management Information)
Networks, Data Mining, And Artificial Intelligence: Trends And Future Directions
Networks, Data Mining, And Artificial Intelligence: Trends And Future Directions
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Top 10 algorithms in data mining
Knowledge and Information Systems
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Mining LMS data to develop an "early warning system" for educators: A proof of concept
Computers & Education
Conjoint analysis for recruiting high quality students for college education
Expert Systems with Applications: An International Journal
A mining-based approach on discovering courses pattern for constructing suitable learning path
Expert Systems with Applications: An International Journal
L0-constrained regression for data mining
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Clustering and ranking university majors using data mining and AHP algorithms: A case study in Iran
Expert Systems with Applications: An International Journal
Mining students' inquiry actions for understanding of complex systems
Computers & Education
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
EduMiner: Using text mining for automatic formative assessment
Expert Systems with Applications: An International Journal
Data mining for adaptive learning in a TESL-based e-learning system
Expert Systems with Applications: An International Journal
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts
User Modeling and User-Adapted Interaction
Content-free collaborative learning modeling using data mining
User Modeling and User-Adapted Interaction
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Applying variable precision rough set model for clustering student suffering study's anxiety
Expert Systems with Applications: An International Journal
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
Mining sentiments in SMS texts for teaching evaluation
Expert Systems with Applications: An International Journal
Uncertain data mining: an example in clustering location data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Predicting and analyzing secondary education placement-test scores: A data mining approach
Expert Systems with Applications: An International Journal
Computers in Human Behavior
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Multiple instance learning for classifying students in learning management systems
Expert Systems with Applications: An International Journal
Learning patterns of university student retention
Expert Systems with Applications: An International Journal
Computers in Human Behavior
Educational Data Mining: Applications and Trends
Educational Data Mining: Applications and Trends
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This review pursues a twofold goal, the first is to preserve and enhance the chronicles of recent educational data mining (EDM) advances development; the second is to organize, analyze, and discuss the content of the review based on the outcomes produced by a data mining (DM) approach. Thus, as result of the selection and analysis of 240 EDM works, an EDM work profile was compiled to describe 222 EDM approaches and 18 tools. A profile of the EDM works was organized as a raw data base, which was transformed into an ad-hoc data base suitable to be mined. As result of the execution of statistical and clustering processes, a set of educational functionalities was found, a realistic pattern of EDM approaches was discovered, and two patterns of value-instances to depict EDM approaches based on descriptive and predictive models were identified. One key finding is: most of the EDM approaches are ground on a basic set composed by three kinds of educational systems, disciplines, tasks, methods, and algorithms each. The review concludes with a snapshot of the surveyed EDM works, and provides an analysis of the EDM strengths, weakness, opportunities, and threats, whose factors represent, in a sense, future work to be fulfilled.