کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378938 659238 2011 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classifying text streams by keywords using classifier ensemble
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Classifying text streams by keywords using classifier ensemble
چکیده انگلیسی

Traditional approaches for text data stream classification usually require the manual labeling of a number of documents, which is an expensive and time consuming process. In this paper, to overcome this limitation, we propose to classify text streams by keywords without labeled documents so as to reduce the burden of labeling manually. We build our base text classifiers with the help of keywords and unlabeled documents to classify text streams, and utilize classifier ensemble algorithms to cope with concept drifting in text data streams. Experimental results demonstrate that the proposed method can build good classifiers by keywords without manual labeling, and when the ensemble based algorithm is used, the concept drift in the streams can be well detected and adapted, which performs better than the single window algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 70, Issue 9, September 2011, Pages 775–793
نویسندگان
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