Anomaly detection is one of the most important research contents in time series data
analysis, which is widely used in many fields. In real world, the environment is usually …

Abstract Internet of Things (IoT) refers to a system of interconnected heterogeneous smart
devices communicating without human intervention. A significant portion of existing IoT …

Big data analytics is rapidly emerging as a key Internet of Things (IoT) initiative aiming at
providing meaningful insights and supporting optimal decision making under time …

Predicting future performance curve and mining the top-K influential KPIs are two important
tasks for Database Management System (DBMS) operations. In this paper, we propose a …

Wireless Sensor Networks (WSN) use many sensor nodes to monitor various environmental
information in designated areas in real-time, which has broad application prospects in many …

摘要工业大数据已经成为我国制造业转型升级的重要战略资源, 工业大数据分析问题**引起重视
和关注. 时序数据作为工业大数据中一种重要的数据形式, 存在大量的数据质量问题 …

In this paper, a method of industrial time series data cleaning using generative LSTM model
and adaptive confidence interval is proposed. Firstly, the generative LSTM model is used to …