Standards Research Data
These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation.
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61 Views
These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation.
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96 Views
These data are the natural language software product descriptions from softpedia. They have bee used for the research of software feature extraction and recommendation.
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Views
Data for the article in the Transactions on Industrial Informatics
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219 Views
The MovieLens 1M dataset has been extended introducing diverse shilling profiles to push or nuke a target item. Shilling profiles has been generated using different shilling attack methods: random, average, bandwagon, reverse-bandwagon, love-hate and perfect-knowledge. Each file contains the 1M original MovieLens ratings plus the added votes for the shilling profiles. Each shilling profile rates as many items as the mean number of ratings from each user in the original dataset. The dataset is divided in four quartiles based on the number of rating for the target item.
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606 Views
A two-year electricity consumption data of a hotel building in Shanghai, China and and corresponding outdoor weather data.
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979 Views
These tables provide proof of the authenticity and reliability of the article.
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278 Views
The file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.
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117 ViewsThe file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.
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91 Views
These data include field potential recordings from human pluripotent stem cells-derived cardiomyocytes. The data are recorded by Cardio2D software and analyzed offline by Cardio2D+. The characteristics of the field potentials such as field potential amplitude, field potential duration and beating duration as well as beating frequency, were obtained. Based on these characteristics, the field potentials were categorized to normal or arrhythmic by two electrophysiology experts.
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174 Views