document: Incremental context mining for adaptive document classification Automatic document classification ( DC ) is essential for the management of information and knowledge . This paper explores two practical issues in DC : ( 1 ) each document has its context of discussion , and ( 2 ) both the content and vocabulary of the document database is intrinsically evolving . The issues call for adaptive document classification ( ADC ) that adapts a DC system to the evolving contextual requirement of each document category , so that input documents may be classified based on their contexts of discussion . We present an incremental context mining technique to tackle the challenges of ADC . Theoretical analyses and empirical results show that , given a text hierarchy , the mining technique is efficient in incrementally maintaining the evolving contextual requirement of each category . Based on the contextual requirements mined by the system , higher-precision DC may be achieved with better efficiency .
doc_bio_tags: O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O