Novel incremental algorithm for formal concept set generation using recursive context reduction.

What is it about?

The problem is related to application of Formal Concept Analysis. Based on the performed tests, it dominates the other popular batch or incremental methods for sparse contexts. For dense contexts, the extended version of the proposed method, which integrates the InClose algorithm for processing of reduced contexts, provides a superior efficiency. Especially good results are experienced for symmetric contexts in the case of word clustering using context-based similarity.

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Why is it important?

Suitable for both attribute and object level incremental context extensions, It provides an efficient algorithm for incremental concept set construction for concept management in knowledge engineering applications.

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