1. 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