Recent-biased approximations have received increased attention recently as a mechanism
for learning trend patterns from time series or data streams. They have shown promise for …

We investigate techniques for analysis and retrieval of object trajectories. We assume that a
trajectory is a sequence of two or three dimensional points. Trajectory datasets are very …

摘! 要! 提出一种基于分段多项式表示% 44/& 的时间序列数据库相似查询的系统化方法944/是一
类基于线性多项式回归的正交变换9 用44/变换索引时间序列数据在理论上具备非漏报性质9 …

Abstract Intelligent Transportation Systems (ITS) have triggered important research activities
in the context of behavioral dynamics. Several new models and simulators for driving and …

该文提出了一种改进的K 一最近邻分类算法. 该算法首先将训练事例集中的每一类样本进行聚类,
既减小了训练事例集的数据量, 又去除了孤立点, 大大提高了算法的快速性和预测精度 …

Time series data have been used in many applications, such as financial data analysis and
weather forecasting. Similarly, trajectories of moving objects are often used to perform …

The technique of searching for similar patterns among time series data is very important in a
wide range of applications. Among them, the time scaling searching is a hard problem that …

In many applications, local or remote sensors send in streams of data, and the system needs
to monitor the streams to discover relevant events/patterns and deliver instant reaction …

There are many techniques developed for tackling time series and most of them consider
every part of a sequence equally. In many applications, however, recent data can often be …

The growing demand for shopping assistants in E-Commerce was identified by many
researchers. Some retailers try to address this need by introducing totally autonomous …