SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
Multi-dimensional sequential pattern mining
Proceedings of the tenth international conference on Information and knowledge management
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
The PSP Approach for Mining Sequential Patterns
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Improving adaptation in web-based educational hypermedia by means of knowledge discovery
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Closed Multidimensional Sequential Pattern Mining
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
Benchmarking the effectiveness of sequential pattern mining methods
Data & Knowledge Engineering
Novel measurement for mining effective association rules
Knowledge-Based Systems
Frequent Closed Sequence Mining without Candidate Maintenance
IEEE Transactions on Knowledge and Data Engineering
Inducing High-Level Behaviors from Problem-Solving Traces Using Machine-Learning Tools
IEEE Intelligent Systems
A new framework for detecting weighted sequential patterns in large sequence databases
Knowledge-Based Systems
Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor
International Journal of Artificial Intelligence in Education
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
IEEE Transactions on Knowledge and Data Engineering
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Implement web learning environment based on data mining
Knowledge-Based Systems
A new generic basis of "factual" and "implicative" association rules
Intelligent Data Analysis
Path-planning for autonomous training on robot manipulators in space
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Mining weighted sequential patterns in a sequence database with a time-interval weight
Knowledge-Based Systems
IGB: a new informative generic base of association rules
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Authoring constraint-based tutors in ASPIRE
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
The cognitive tutor authoring tools (CTAT): preliminary evaluation of efficiency gains
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Product recommendations for cross-selling in electronic business
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
IEEE Transactions on Robotics
Limited-Damage A*: A path search algorithm that considers damage as a feasibility criterion
Knowledge-Based Systems
CMRules: Mining sequential rules common to several sequences
Knowledge-Based Systems
A computational model for causal learning in cognitive agents
Knowledge-Based Systems
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
Communicative commitments: Model checking and complexity analysis
Knowledge-Based Systems
Mining association rules for the quality improvement of the production process
Expert Systems with Applications: An International Journal
A data mining approach to knowledge discovery from multidimensional cube structures
Knowledge-Based Systems
Discovering diverse association rules from multidimensional schema
Expert Systems with Applications: An International Journal
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Domain experts should provide Intelligent Tutoring Systems (ITS) with relevant domain knowledge that enable it to guide the learner during problem-solving learning activities. However, for ill-defined domains this knowledge is hard to define explicitly. Our hypothesis is that knowledge discovery (KD) techniques can be used to extract problem-solving task models from the recorded usage of expert, intermediate and novice learners. This paper proposes a procedural-knowledge acquisition framework based on a combination of sequential pattern mining and association rules discovery techniques. The framework has been implemented and is used to discover new meta-knowledge and rules in a given domain which then extend domain knowledge and serve as problem space, allowing the Intelligent Tutoring System to guide learners in problem-solving situations. Preliminary experiments have been conducted using the framework as an alternative to a path-planning problem solver in CanadarmTutor.