Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
Algorithms for clustering data
Algorithms for clustering data
Introduction to algorithms
An algorithm for computing the transitive closure of a fuzzy similarity matrix
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
An approximation algorithm for clustering graphs with dominating diametral path
Information Processing Letters
CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Fuzzy logic in data modeling: semantics, constraints, and database design
Fuzzy logic in data modeling: semantics, constraints, and database design
ACM Computing Surveys (CSUR)
Data mining: concepts and techniques
Data mining: concepts and techniques
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Clustering Algorithms
An intelligent approach to handling imperfect information in concept-based natural language queries
ACM Transactions on Information Systems (TOIS)
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
On Clustering Validation Techniques
Journal of Intelligent Information Systems
An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
Comparison of clustering methods for clinical databases
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Challenges in enterprise search
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Towards the next generation of enterprise search technology
IBM Systems Journal
Cluster center initialization algorithm for K-means clustering
Pattern Recognition Letters
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
People search in the enterprise
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Introduction to Information Retrieval
Introduction to Information Retrieval
Top-k dominating queries in uncertain databases
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Multi-dimensional top-k dominating queries
The VLDB Journal — The International Journal on Very Large Data Bases
Decider: A fuzzy multi-criteria group decision support system
Knowledge-Based Systems
Coping with noisy search experiences
Knowledge-Based Systems
A clustering method based on fuzzy equivalence relation for customer relationship management
Expert Systems with Applications: An International Journal
Text clustering using frequent itemsets
Knowledge-Based Systems
A robust iterative refinement clustering algorithm with smoothing search space
Knowledge-Based Systems
Data clustering with size constraints
Knowledge-Based Systems
Word AdHoc Network: Using Google Core Distance to extract the most relevant information
Knowledge-Based Systems
Learning to rank with document ranks and scores
Knowledge-Based Systems
Algorithms for the computation of T-transitive closures
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
Efficient gradient descent algorithm for sparse models with application in learning-to-rank
Knowledge-Based Systems
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Today's widespread web applications bring many challenges to decision support systems (DSS) research for effectively retrieving useful information from online data sources that are of huge volume. Importantly, in a web search and service environment, search results grouping becomes a crucial issue of DSS functionality and service, where the scale of data is dynamically expanding. This paper proposes an intelligent method that generates equivalence groups (classes) in an incremental manner, so as to deal with the evolving nature of the data in web search. Such equivalence groups are derived from @l-cuts of transitive closure of a closeness matrix for the search elements. The proposed incremental method does not need to redo the whole procedure of grouping each time when the overall search outcome changes, which is common in real applications, rather, it only captures the changes and related elements so that the calculation is minimized in both time and space complexity. Theoretical analysis and data experiments show the advantage and effectiveness of the proposed incremental method.