Cihan H. DagliHsi-Chieh LeeSpringer USC. Dagli and H. Lee, "Impacts of data mining technology on product design and process planning," in Proc. IFIP TC5 Int. Conf. Comput. Applicat. Prod. Eng. (CAPE'97), Detroit, MI, 1997.
Our current data cannot be directly used to discern whether different access behaviors are due to the lack of web expertize (i.e., digital literacy or search facility), the lack of awareness of the value of information (i.e., attitude towards information), or the lack of intangible resourc...
Research has shown that data provided by MTurk participants often meets or even exceeds “the psychometric standards set by data collected using other means”35. The sample size is comparable to recent other studies that examined the social consequences of algorithmically mediated communication32,36. ...
Research has shown that data provided by MTurk participants often meets or even exceeds “the psychometric standards set by data collected using other means”35. The sample size is comparable to recent other studies that examined the social consequences of algorithmically mediated communication32,36. ...
Stability of sleep and circadian rhythms are important for healthy learning and memory. While experimental manipulations of lifestyle and learning outcomes present major obstacles, the ongoing increase in data sources allows retrospective data mining of people's sleep timing variation. Here I use digital...
We focus on parallel support vector machines (SVMs) as one of the best out-of-the-box classification methods. 展开 关键词: Big data data mining high-performance computing (HPC) image classification parallel processing smart data spatial analysis support vector machines (SVMs) ...
97 Efficient Large Scale Spatiotemporal Data Compression and Pre-Processing for Facilitating Big Spatiotemporal Data Mining-A Case Study Based on AIS Data... 98 Identifying Bottlenecks of the Shipping Network in the Context of China's Maritime Silk Road Initiative......
Thus, we use the number of foreign visitors, namely the number of international tourist arrivals, to estimate the impacts of the two diseases on international tourism demand. The monthly data for international tourist arrivals are collected from statistical datasets for each country, and the probable...
Amit Sharmais a Senior Researcher at Microsoft Research India. His work bridges causal inference techniques with data mining and machine learning, with the goal of making machine learning models generalize better, be explainable and avoid hidden biases. To this end, Amit has co-led the ...
John JacobsAffiliated withSchool of Public Policy and Administration and the Institute of Political Economy, Carleton University Abstract Approaches to mining reform in Africa have most often reflected, and often continue to reflect, a donor driven and ‘investment-led’ perspective to the development ...