ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph Bai, Yude; Chen, Sen; Xing, Zhenchang; Li, Xiaohong Sci China Inf Sci, 2023, 66(9): 192101Keywords: malicious behavior; Android document; knowledge graph; malware family variant; machine learningCite as: Ba...
Brinda Yarlagadda: Data curation, Visualization, Writing - original draft. Jonas Elliott Siegel: Conceptualization, Writing - original draft. Sheng Zhou: Methodology, Resources, Writing - review & editing. Sonny Kim: Methodology, Writing - review & editing. Acknowledgements The research on which ...
while ignoringdata miningand “Smart” application construction leads to leads to the lack of SPCC effect. The Smart Water system should be established around smart control, information sharing, precise management, and decision-making, which can provide support for the entire process of planning, des...
2.2. Data Mining Method Data mining incorporates theories and techniques from multiple fields, such as artificial intelligence, database technologies, pattern recognition, machine learning, statistics, and data visualization, with the goal of discovering novel patterns and knowledge [45]. Currently, a ...
Big data Big data, data mining, text mining, data visualization, heterogeneous data, credit, augmented reality, mixed reality, virtual reality Digital technology application Mobile internet, Internet of Things (IoT), industrial internet, mobile interconnection, internet healthcare, e-commerce, mobile pa...
development. With a unified UI, the workflow-like graphical drag-and-drop development experience meets the entire lifecycle of data application development from data import, desensitization cleaning, data analysis, data mining, quality inspection, visualization, scheduling to data output applications, etc...
The applications can be summarized in three ways. First, AI can facilitate screening and detecting the pandemic. For example, data mining technology has been used to track individual mobility by gathering information on consumption and travel histories [9,10]. Intelligent outbound call platforms, bas...
Predicting porosity, permeability and water saturation applying an optimized nearest-neighbour, machine-learning and data-mining network of well-log data. J. Petrol. Sci. Eng. 184, 106587 (2020). Article CAS Google Scholar Wang, J. et al. NGCU: A new RNN model for time-series data ...
Journal of Mining and Environment, 9(2), 403–416. Google Scholar Sebtosheikh, M. A., & Salehi, A. (2015). Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect ...
Visualization is a research hotspot in Digital Earth. Available Digital Earth platforms, such as Google Earth and World Wind could only display the prebuil... Z Yanan,H Xiaodong,L Jun 被引量: 0发表: 2014年 [IEEE 2014 IEEE International Conference on Data Mining Workshop (ICDMW) - Shenzhen...