Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework / / written by Xiaona Xia.
Interactive learning environment is the key support for education decision making, the corresponding analytics and methodology are the important part of educational technology research and development. As an important part and the research challenge, learning behaviors are uncertain and produce comp...
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Place / Publishing House: | London : : IntechOpen,, 2021. |
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 online resource (190 pages) |
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Table of Contents:
- 1. Introduction
- 2. Related work
- 2.1 Frequent itemset mining based on apriori
- 2.2 Frequent itemsets mining based on FP-growth
- 2.3 Frequent itemsets mining based on Eclat framework
- 3. Elements of learning behaviors and research problems
- 4. Improved Eclat framework
- 4.1 Related models
- 4.1.1 Expected "Support" of reference items
- 4.1.2 Frequent itemsets
- 4.1.3 Probability frequency
- 4.1.4 Probabilistic frequent itemsets
- 4.2 Algorithm design
- 5. Experiments
- 5.1 Performance Indicators
- 6. Probabilistic frequent itemsets analysis of learning behaviors
- 7. Decision-making scheme for improving learning behaviors
- 7.1 Learning content will affect the frequent itemsets of learning behaviors
- 7.2 Teaching goals will affect the frequent itemsets of learning behaviors
- 7.3 The frequent itemsets of learning behavior have the characteristics of explicit and implicit association
- 7.4 Learning behavior needs the adaptive support of specific algorithm and data structure
- 8. Conclusion
- Compliance with ethical standards
- A list of acronyms
- References.