Synthetic Dataset for Skyline Queries Experimentation

This dataset can be used to conduct experimental study for Skyline Queries computing and for Skyline Web services selection based on QoS. It was prepared for using in paper (SEFAP: an efficient approach for ranking skyline web services. Journal of Ambient Intelligence and Humanized Computing) but finally real datasets was used. It contains synthetic data generated using randdataset-1.0.1.tar script. The dataset is organized in many files according to the cardinality (the number of Web services from 2000 to 100.000), the dimensionality (the number of criteria from to 2 to 10) and the type of Skyline dataset (independent; correlated and anti-correlated).

本数据集可用于面向天际线查询（Skyline Queries）计算以及基于服务质量（Quality of Service，QoS）的天际线Web服务选择的实验研究。本数据集最初为论文《SEFAP：一种面向天际线Web服务排序的高效方法》（发表于《环境智能与人性化计算期刊》（"Journal of Ambient Intelligence and Humanized Computing"））筹备，但最终实验采用了真实数据集。数据集包含通过randdataset-1.0.1.tar脚本生成的合成数据。本数据集按照以下三类维度组织为多个文件：数据集基数（即Web服务数量，范围为2000至100000）、数据维度（即评价准则数量，范围为2至10）以及天际线数据集类型（包括独立型、相关型与反相关型）。