Gastric Cancer Data Mining with Ordered Information
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Nantonac collaborative filtering: recommendation based on order responses
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Analyzing and mining ordered information tables
Journal of Computer Science and Technology
Organizing Dynamic Multi-Level Workflows on Multi-Layer Grids for Developing e-Business Portals
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Supervised ordering by regression combined with Thurstone's model
Artificial Intelligence Review
Interval ordered information systems
Computers & Mathematics with Applications
Interpreting Low and High Order Rules: A Granular Computing Approach
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Knowledge reduction and matrix computation in inconsistent ordered information systems
International Journal of Business Intelligence and Data Mining
Set-valued ordered information systems
Information Sciences: an International Journal
Uncertainty Measures of Roughness of Knowledge and Rough Sets in Ordered Information Systems
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Fuzzy preference based rough sets
Information Sciences: an International Journal
Descent rules for championships
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
WI based multi-aspect data analysis in a brain informatics portal
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Knowledge approximation and rule acquisition based on VPRS in ordered information systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
Research on rough set theory and applications in China
Transactions on rough sets VIII
A two-grade approach to ranking interval data
Knowledge-Based Systems
Reduction of attributes in ordinal decision systems
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Knowledge reduction based on evidence reasoning theory in ordered information systems
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Querying the semantic web with preferences
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Characterizations of attributes in generalized approximation representation spaces
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Spiral multi-aspect hepatitis data mining
AM'03 Proceedings of the Second international conference on Active Mining
Evaluation of the decision performance of the decision rule set from an ordered decision table
Knowledge-Based Systems
International Journal of Approximate Reasoning
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Many real world problems deal with ordering objects instead of classifying objects, although majority of research in machine learning and data mining has been focused on the latter. For modeling ordering problems, we generalize the notion of information tables to ordered information tables by adding order relations on attribute values. The problem of mining ordering rules is formulated as findingassociation between orderings of attribute values and the overall ordering of objects. An ordering rules ay state that "if the value of an object x on an attribute a is ordered ahead of the value of another object y on the same attribute, then x is ordered ahead of y" For mining ordering rules, we first transform an ordered information table into a binaryinformation, and then apply any standard machine learning and data mining algorithms. As an illustration, we analyze in detail MacLean's universities ranking for the year 2000.