Incremental Context Mining for Adaptive Document Classification

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Incremental Context Mining for Adaptive Document Classification Rey-Long Liu & Yun-Ling Lu Main goals: (1) Adapting the classifier to the evolution of a hierarchical document database (2) Recognizing the document’s context of discussion in document classification Why? (1) Both content and vocabulary of the document database may evolve over time (2) A document may be properly classified only if its context of discussion is recognized How? (1) Incrementally mining the contextual requirement of each category (2) Document classification by context recognition Organization (Finance, Manufacturing…) CBIS (Computer, …) ‧‧‧ C11 Antecedents of the target (x) recognize the context of the document d. Antecedents of the error category (y) do not strongly accept the context of d. (Context Recognition) ‧‧‧ ‧‧‧ F 1 F 2 F 3 F F n F F F n-1 n+1 n+2 n+p DSS (Decision, …) MIS (Management, …) ‧‧‧ ‧‧‧ ‧‧‧ New Doc. ‧‧‧ Correct Target F 1 F 2 F 3 F F F F F n-1 n+1 n+2 n n+p (Incremental Mining) Main contributions: (1) Incremental adaptation (2) Efficient and higher-precision classification 2002/7/24 ACM KDD-2002