Index data structure for fast subset and superset queries

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Abstract

A new data structure set-trie for storing and retrieving sets is proposed. Efficient manipulation of sets is vital in a number of systems including datamining tools, object-relational database systems, and rule-based expert systems. Data structure set-trie provides efficient algorithms for set containment operations. It allows fast access to subsets and supersets of a given parameter set. The performance of operations is analyzed empirically in a series of experiments on real-world and artificial datasets. The analysis shows that sets can be accessed in O(c * |se|) time where |set| represents the size of parameter set and c is a constant. © 2013 IFIP International Federation for Information Processing.

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Savnik, I. (2013). Index data structure for fast subset and superset queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8127 LNCS, pp. 134–148). https://doi.org/10.1007/978-3-642-40511-2_10

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