In response to the absence of a unified framework and standardized guidelines, this survey delves into the realm of time series sensor data and wheel-track interface components for railway structural health monitoring. This survey aims to bridge this gap by offering an extensive categorization, ...
Big data has a substantial role nowadays, and its importance has significantly increased over the last decade. Big data’s biggest advantages are providing knowledge, supporting the decision-making process, and improving the use of resources, services, a
Robusttad: Robust time series anomaly detection via decomposition and convolutional neural networks. MileTS’20: 6th KDD Workshop on Mining and Learning from Time Series, pages 1–6, 2020.) [Lee等人,2019年]的另一项最新工作提出利用替代数据来改善深度神经网络中康复时间序列的分类性能。工作中采用了...
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index... E Keogh,S Kasetty - 《Data Mining & Knowle...
In this paper various security mechanisms analyzed and their significance given in this survey paper. 展开 关键词: Access Control Confidentiality Freshness Integrity Outsourced Databases Query Authentication Security mechanisms 被引量: 1 年份: 2014 ...
在每个快照上重复使用静态方法可以共同洞察网络的动态,在每个snapshots上的表征结果可以作为time series deep learning models的input(感觉这种方式不错,很合理) 还有其他有效使用快照的方法。重叠快照(如滑动时间窗[37])也用于动态网络分析,从一个网络快照到下一个[38]的变化较小。离散动态网络除了使用snapshots的方式...
Anomaly detection for time-series data has been an important research field for a long time. Seminal work on anomaly detection methods has been focussing on statistical approaches. In recent years an increasing number of machine learning algorithms have been developed to detect anomalies on time-seri...
A Survey of Parallel Data Mining on Cloud Computing The Cloud computing technology has been emerged to manage very large data sets efficiently. Due to rapid growth of the data and distributed storage of data... BS Pavitra,Dr. Ravikumar 被引量: 0发表: 0年 Parallel and distributed association ...
Educational data mining and learning analytics: An updated survey 2020, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Data mining in education 2013, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Learning analytics: Drivers, developments and challenges 2012, Interna...
Furthermore, the survey discusses applications and existing early disease detection systems based on OSNs and outlines directions for future research on improving such systems based on a combination of linguistics methods, data mining ... M. Habeeb, Haider,Al-A'araji, Nabeel - 《International Jour...