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Data mining: a reconsideration [PDF]
Journal of Economic Methodology, 2000 Data mining occurs because most economic hypotheses do not have a unique empirical interpretation but allow the econometrician much leeway in selecting conditioning variables, lags, functional forms, and sometimes the sample. The resulting problems are of interest not only to methodologists and philosophers concerned with how hypotheses are validated ...
Thomas Mayer
openaire +5 more sources
Frontiers in Oncology, 2022 As one of the most common cancers of the digestive system, colon cancer is a predominant cause of cancer-related deaths worldwide. To investigate prognostic genes in the tumor microenvironment of colon cancer, we collected 461 colon adenocarcinoma (COAD)
Jinyang Liu +8 more
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Journal of Cloud Computing: Advances, Systems and Applications, 2022 Cloud computing has emerged as a promising paradigm for meeting the growing resource demands of Internet of Things (IoT) devices. Meanwhile, with the popularity of mobile aerial base stations, Unmanned Aerial Vehicle (UAV) assisted cloud computing is ...
Yu Zhou +4 more
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Applied Sciences, 2021 In many application domains such as medicine, information retrieval, cybersecurity, social media, etc., datasets used for inducing classification models often have an unequal distribution of the instances of each class.
Mohamed S. Kraiem +2 more
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Joint DNN partitioning and task offloading in mobile edge computing via deep reinforcement learning
Journal of Cloud Computing: Advances, Systems and Applications, 2023 As Artificial Intelligence (AI) becomes increasingly prevalent, Deep Neural Networks (DNNs) have become a crucial tool for developing and advancing AI applications.
Jianbing Zhang +3 more
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Data mining in clinical big data: the frequently used databases, steps, and methodological models
Military Medical Research, 2021 Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for ...
Wen-Tao Wu +6 more
semanticscholar +1 more source
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories
IEEE Transactions on Knowledge and Data Engineering, 2021 CRISP-DM(CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still the de facto standard for developing data mining and ...
Fernando Martínez-Plumed +7 more
semanticscholar +1 more source
Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells
Nature Communications, 2021 To benchmark single cell bioinformatics tools, data simulators can provide a robust ground truth. Here the authors present dyngen, a multi-modal simulator, and apply it to aligning cell developmental trajectories, cell-specific regulatory network ...
Robrecht Cannoodt +3 more
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An intelligent approach of task offloading for dependent services in Mobile Edge Computing
Journal of Cloud Computing: Advances, Systems and Applications, 2023 With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud core network by deploying computing and storage resources at the edge of network close to users.
Jie Chen, Yajing Leng, Jiwei Huang
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, 2018 Data mining support for priority ranking of SLC family members for target selection in WP4.
Daniel T. Larose, Chantal D. Larose
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