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- NYTThe sentences from NYT corpus of the years 2005 and 2006 are aligned by entities in Freebase for training, while that of the year 2007 are aligned for testing. The dataset has 52 common relations and a special relation NA that there is no relation between entity pair e1 and e2. Overall, there are 522,611 sentences, 281,270 entity pairs and 18,252 relational facts in training data, and 172,448 sentences, 96,678 entity pairs and 1,950 relational facts in test data, respectively.
- Data for: Words are important: A textual content based identity resolution scheme across multiple online social networks1. Training Datasets: 1.1. Columns details: columns represent the extracted features from the content of source profile (Twitter) and the target profiles (Facebook). Last column shows the match and no-match condition. Total number of columns in this dataset are 31. 1.2. Rows details: all the rows in this dataset represent the source and target profiles pairs for match and no-match. Total number of rows in this dataset are 31882. 2. Test Datasets: 2.1. Columns details: columns represent the extracted features from the content of source profile (Twitter)and the target profiles (Facebook). Last column shows the match and no-match condition. Total number of columns in this dataset are 31. 2.2. Rows details: all the rows in this dataset represent the source and target profiles pairs for match and no-match. Total number of rows in this dataset are 17392.
- Data for: A novel decision support methodology for mean-variance portfolio optimization problemThe datasets include the adjusted daily and weekly closing prices of assets enlisted in DOW30, NASDAQ100, and S&P500 stock indices.
- Data for: A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machineThe codes and datasets of the SVR-FCM algorithm.
- Data for: Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoningThis datasets contains the answers to the NASA Task Load index questionnaire (columns E-Z) from a set of university students, as well as the ID of the administered questionnaire (column A), a description of the taught topic (column B), the instructional delivery method used (column C), and the self-reported uni-dimensional perception of mental workload reported by students (column D).
- Data for: Modeling Spot Shipment Pricing in the Australian Container Shipping Industry: Case of ASIA-OCEANIA Trade LaneThis data set provides pricing details discussed in the article and explains the results shown in the research work.
- Data for: Fitness-Distance Balance (FDB): A New Selection Method for Meta-Heuristic Search AlgorithmsIt is the source code of developed FDB method and FDB-SOS algorithm.
- Data for: Multi-Turn Natural Language Understanding with Neural Networks and Regular ExpressionsThis dataset contains the muti-turn user-machine utterances with IOB representation for slot values and intent annotation.
- Data for: An intelligent hybridization of ARIMA with machine learning models for time series forecastingThree classical time series widely used in the literature.
- Data for: Hierarchical prediction based on two-level gaussian mixture model clustering for bike-sharing systemData for: Hierarchical prediction based on two-level gaussian mixture model clustering for bike-sharing system
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