An incremental concept formation approach for learning from databases

DOI10.1016/0304-3975(94)90195-3zbMath0938.68806OpenAlexW2138497556MaRDI QIDQ1341713

Rokia Missaoui, Robert Godin

Publication date: 15 June 2000

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-3975(94)90195-3

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Theory of data (68P99)

Related Items (13)

Monotone concepts for formal concept analysis ⋮ Reduction method for concept lattices based on rough set theory and its application ⋮ The Galois lattice as a hierarchical structure for topological relations ⋮ Approaches to the representations and logic operations of fuzzy concepts in the framework of axiomatic fuzzy set theory. II. ⋮ Rule acquisition and attribute reduction in real decision formal contexts ⋮ A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes ⋮ A framework for incremental generation of closed itemsets ⋮ Generating frequent itemsets incrementally: two novel approaches based on Galois lattice theory ⋮ Rough Fuzzy Concept Lattice and Its Properties ⋮ Enumeration aspects of maximal cliques and bicliques ⋮ Design and comparison of lattices of topological relations for spatial representation and reasoning ⋮ On the power of incremental learning. ⋮ Variants of iterative learning

Cites Work

• Lattice model of browsable data spaces
• Two Basic Algorithms in Concept Analysis
• Inductive Logic Programming: Theory and methods
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