Group decision support with the analytic hierarchy process
Decision Support Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Maintaining knowledge about temporal intervals
Communications of the ACM
Aggregation of partial ordinal rankings: an interval goal programming approach
Computers and Operations Research
Mining hybrid sequential patterns and sequential rules
Information Systems
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovering Temporal Patterns for Interval-Based Events
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns
Information Processing and Management: an International Journal
Ascending Frequency Ordered Prefix-tree: Efficient Mining of Frequent Patterns
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Efficient Mining of Partial Periodic Patterns in Time Series Database
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Efficient similarity search and classification via rank aggregation
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Mining Sequential Patterns from Multidimensional Sequence Data
IEEE Transactions on Knowledge and Data Engineering
A preference aggregation method through the estimation of utility intervals
Computers and Operations Research
Optimal Allocation of Proposals to Reviewers to Facilitate Effective Ranking
Management Science
Mining fuzzy sequential patterns from quantitative transactions
Soft Computing - A Fusion of Foundations, Methodologies and Applications
An agent model based on ideas of concordance and discordance for group ranking problems
Decision Support Systems
A probabilistic music recommender considering user opinions and audio features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Methodologies and Algorithms for Group-Rankings Decision
Management Science
Mining Nonambiguous Temporal Patterns for Interval-Based Events
IEEE Transactions on Knowledge and Data Engineering
Incremental and interactive mining of web traversal patterns
Information Sciences: an International Journal
Efficient strategies for tough aggregate constraint-based sequential pattern mining
Information Sciences: an International Journal
A novel collaborative filtering approach for recommending ranked items
Expert Systems with Applications: An International Journal
Linguistic object-oriented web-usage mining
International Journal of Approximate Reasoning
International Journal of Intelligent Systems - Decision Sciences: Foundations and Applications
Journal of Artificial Intelligence Research
IEEE Transactions on Fuzzy Systems
A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
Fuzzy Sets and Systems
An approach to group ranking decisions in a dynamic environment
Decision Support Systems
Soft computing and Web intelligence for supporting consensus reaching
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing on Web; Guest Editors: A. G. López-Herrera, E. Herrera-Viedma
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Measuring the interestingness of articles in a limited user environment
Information Processing and Management: an International Journal
Discovering fuzzy time-interval sequential patterns in sequence databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A trust-semantic fusion-based recommendation approach for e-business applications
Decision Support Systems
Information Sciences: an International Journal
A linguistic consensus model for Web 2.0 communities
Applied Soft Computing
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The aggregation of individuals' preferences into a consensus ranking is a decision support problem which has been widely used in various applications, such as decision support systems, voting systems, and recommendation systems. Especially when applying recommendation systems in business, customers ask for more suggestions about purchasing products or services because the tremendous amount of information available can be overwhelming. Therefore, we have to gather more preferences from recommenders and aggregate them to gain consensuses. For an example of preference ranking, CA=D=B indicates C is favorable to A, A is somewhat favorable but not fully favorable to D, and ultimately D is somewhat favorable but not fully favorable to B, where and = are comparators, and A, B, C, and D are items. This shows the ranking relationship between items. However, no studies, to the best of our knowledge, have ever developed a recommendation system to suggest a temporal relationship between items. That is, ''item A could occur during the duration of item B'' or ''item C could occur before item D''. This type of recommendation can be applied to the reading order of books, course plans in colleges, or the order of taking medicine for patients. This study proposes a novel recommendation model to discover closed consensus temporal patterns, where closed means the patterns are only the maximum consensus sequences. Experiments using synthetic and real datasets showed the model's computational efficiency, scalability, and effectiveness.