Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Evaluation of signature files as set access facilities in OODBs
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
S-tree: a dynamic balanced signature index for office retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Indexing Techniques for Advanced Database Systems
Indexing Techniques for Advanced Database Systems
Principles and Applications
Information Retrieval
A performance study of four index structures for set-valued attributes of low cardinality
The VLDB Journal — The International Journal on Very Large Data Bases
The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Retrieving images in fuzzy object-relational databases using dominant color descriptors
Fuzzy Sets and Systems
Preface to the special issue on advances in fuzzy database technology: Introduction
International Journal of Intelligent Systems
A B+-tree based indexing technique for fuzzy numerical data
Fuzzy Sets and Systems
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
Introduction to Information Retrieval
Introduction to Information Retrieval
The Claremont report on database research
Communications of the ACM - One Laptop Per Child: Vision vs. Reality
Guest Editorial: The application of fuzzy logic and soft computing in information management
Fuzzy Sets and Systems
Special issue on uncertain and probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
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We propose an approach for indexing fuzzy data based on inverted files that speeds up retrieval considerably by stopping the traversal of postings lists early. This is possible because the entries in the postings lists are organized in a way that guarantees that there are no matching items beyond a certain point in a list. Consequently, we can reduce the number of false positives significantly, leading to an increase in retrieval performance. We have implemented our approach and evaluated it experimentally, including a test on skewed and real-world data, comparing it to an approach that has previously been shown to be superior to other methods.