Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences [0.03%]
从COVID-19相关的Twitter数据中挖掘关联规则以发现词汇模式、主题和推断
Paraskevas Koukaras,Christos Tjortjis,Dimitrios Rousidis
Paraskevas Koukaras
This work utilizes data from Twitter to mine association rules and extract knowledge about public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use case, and analyzes tweets gathered between February and Augus...
Forecasting smog-related health hazard based on social media and physical sensor [0.03%]
基于社交媒体和物理传感器预测雾霾相关的健康隐患
Jiaoyan Chen,Huajun Chen,Zhaohui Wu et al.
Jiaoyan Chen et al.
Smog disasters are becoming more and more frequent and may cause severe consequences on the environment and public health, especially in urban areas. Social media as a real-time urban data source has become an increasingly effective channel...
Vitaliy Liptchinsky,Roman Khazankin,Stefan Schulte et al.
Vitaliy Liptchinsky et al.
Modeling collaboration processes is a challenging task. Existing modeling approaches are not capable of expressing the unpredictable, non-routine nature of human collaboration, which is influenced by the social context of involved collabora...
Compliance monitoring in business processes: Functionalities, application, and tool-support [0.03%]
业务流程中的合规监控：功能、应用及工具支持
Linh Thao Ly,Fabrizio Maria Maggi,Marco Montali et al.
Linh Thao Ly et al.
In recent years, monitoring the compliance of business processes with relevant regulations, constraints, and rules during runtime has evolved as major concern in literature and practice. Monitoring not only refers to continuously observing ...
Dealing with change in process choreographies: Design and implementation of propagation algorithms [0.03%]
流程编曲中的变更处理：传播算法的设计与实现
Walid Fdhila,Conrad Indiono,Stefanie Rinderle-Ma et al.
Walid Fdhila et al.
Enabling process changes constitutes a major challenge for any process-aware information system. This not only holds for processes running within a single enterprise, but also for collaborative scenarios involving distributed and autonomous...
A Dimensionality Reduction Technique for Efficient Time Series Similarity Analysis [0.03%]
一种有效的时间序列相似性分析的降维技术
Qiang Wang,Vasileios Megalooikonomou
Qiang Wang
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise constant approximation (PCA) techniques that approximate each ...