A Multi-Label Classification Method Based on Associative Rules

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
In the practical application of image classification, text and audio classification and gene function analysis, the data that classification faces has presented multi-label feature, multi-label classification has become an important research direction of classification. Based on this, the authors put forward a Multi-Label Classification Method Based on Associative Rules named (MLCMBAR) which is based on associative rules, this method constructs the accurate multi-label classification associative rules by mining frequent item sets in the sample database and corresponding solutions of some key problems that appear in the process of mining are put forward.

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