کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4968137 1365185 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Finding a representative subset from large-scale documents
ترجمه فارسی عنوان
پیدا کردن یک زیرمجموعه نماینده از اسناد بزرگ در مقیاس
کلمات کلیدی
روش استخراج اطلاعات، پوشش، افزونگی، ثبات توزیع،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Large-scale information, especially in the form of documents, is potentially useful for decision-making but intensifies the information overload problem. To cope with this problem, this paper proposes a method named RepExtract to extract a representative subset from large-scale documents. The extracted representative subset possesses three desirable features: high coverage of the content of the original document set, low redundancy within the extracted subset, and consistent distribution with the original set. Extensive experiments were conducted on benchmark datasets, demonstrating the superiority of RepExtract over the benchmark methods in terms of the three features above. A user study was also conducted by collecting human evaluations of different methods, and the results indicate that users can gain an understanding of large-scale documents precisely and efficiently through a representative subset extracted by the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 10, Issue 3, August 2016, Pages 762-775
نویسندگان
, , ,