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Titlebook: Data Science; Second International Chengqi Zhang,Wei Huang,Jing He Conference proceedings 2015 Springer International Publishing Switzerlan

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Bernd Fritzsche,Bernd Kirstein,Conrad Mädlercs based big data collection and O2O e-commerce has built the ground for time-dependent vehicle routing, which becomes extremely important in the home delivery applications. This paper proposes a logistics platform to solve the order fulfillment problem of on-demand delivery service with large quant
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Omer Friedland,Gil Goldman,Yosef Yomdinabeler is provided to label each queried instance. In an extreme case, the whole active learning task may start without any available information about the tasks, for instance, no labeled data are available at the initial stage and the labeler is incapable of providing the ground truth to each queri
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https://doi.org/10.1007/978-3-319-24474-7Active learning; Big data; Frequent patterns; Large-scale social networks; Social networks; Data science;
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978-3-319-24473-0Springer International Publishing Switzerland 2015
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Regression-Based Outlier Detection of Sensor Measurements Using Independent Variable Synthesis,for the estimation of the model parameters. The artificial and real dataset are used to verify the proposed method. The preliminary experiments show improvement in the regression-based outlier detection method.
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Complex Fluids in Biological Systemsline with this, our proposed model simultaneously utilizes semantic and temporal features of a target individual’s historical mobility data to predict their mobility, given his/her current location context (time and semantic tag of the location). We evaluate our approach on a real world GPS trajectory dataset.
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