کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4944141 1363983 2018 14 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Unsupervised clustering of service performance behaviors
ترجمه فارسی عنوان
خوشه بندی بدون تحت نظارت رفتارهای عملکرد خدمات
کلمات کلیدی
خدمات؛ رفتار؛ کارایی؛ خوشه بندی بدون تحت نظارت؛ سری زمانی؛
Services; Behaviors; Performance; Unsupervised clustering; Time series;
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

We propose in this paper a novel approach for unsupervised clustering of services’ behaviors. These behaviors are modeled as multivariate time series that capture the evaluation of several service quality attributes for a period of time. The importance weights of quality attributes are derived based on the Shannon’s entropy concept and the service data is flattened in a format that is convenient for clustering. The flattening process spans over a time oriented aggregation transformation, which leverages Haar reduction. The reduction is modeled as a maximization of an objective function. The absence of ground truth is tackled by performing a set of tests to determine the best number of clusters and clustering algorithms. Extensive experiments were conducted to validate the proposed unsupervised clustering approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 422, January 2018, Pages 558-571
نویسندگان
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