کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
402598 676968 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient algorithms for finding the most desirable skyline objects
ترجمه فارسی عنوان
الگوریتم های کارآمد برای پیدا کردن مطلوب ترین اشیاء افقی
کلمات کلیدی
خط افق، پردازش پرس و جو، الگوریتم، پایگاه داده فضایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

The skyline query is a powerful tool for multi-criteria decision making. However, it may return too many skyline objects to offer any meaningful insight. In this paper, we introduce a new operator, namely, the most desirable skyline object (MDSO) query, to identify manageable size of truly interesting skyline objects. Given a multi-dimensional object set and an integer k, a MDSO query returns the most preferable k skyline objects, based on the newly defined ranking criterion that considers, for each skyline object s, the number of the objects dominated by s and their accumulated (potential) weights. We devise the ranking criterion, formalize the MDSO query, and propose three algorithms for processing MDSO queries. In addition, we extend our methods to tackle the constrained MDSO (CMDSO) query. Extensive experimental results on both real and synthetic datasets show that our presented ranking criterion is significant, and our proposed algorithms are efficient and scalable.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 89, November 2015, Pages 250–264
نویسندگان
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