A review on time series data mining
T Fu - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …
scientific and financial applications. A time series is a collection of observations made …
[PDF][PDF] 时空轨迹聚类方法研究进展
龚玺， 裴韬， 孙嘉， 罗明 - 地理科学进展, 2011 - sourcedb.igsnrr.cas.cn
时空轨迹(Trajectory) 是移动对象的位置和时间的记录序列. 作为一种重要的时空对象数据类型
和信息源, 时空轨迹的应用范围涵盖了人类行为, 交通物流, 应急疏散管理 …
和信息源, 时空轨迹的应用范围涵盖了人类行为, 交通物流, 应急疏散管理 …
Performance metrics for activity recognition
In this article, we introduce and evaluate a comprehensive set of performance metrics and
visualisations for continuous activity recognition (AR). We demonstrate how standard …
visualisations for continuous activity recognition (AR). We demonstrate how standard …
A novel clustering method on time series data
X Zhang, J Liu, Y Du, T Lv - Expert Systems with Applications, 2011 - Elsevier
Time series is a very popular type of data which exists in many domains. Clustering time
series data has a wide range of applications and has attracted researchers from a wide …
series data has a wide range of applications and has attracted researchers from a wide …
Finding semantics in time series
In order to understand a complex system, we analyze its output or its log data. For example,
we track a system's resource consumption (CPU, memory, message queues of different …
we track a system's resource consumption (CPU, memory, message queues of different …
Series distance–an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events
U Ehret, E Zehe - Hydrology and Earth System Sciences, 2011 - hess.copernicus.org
Applying metrics to quantify the similarity or dissimilarity of hydrographs is a central task in
hydrological modelling, used both in model calibration and the evaluation of simulations or …
hydrological modelling, used both in model calibration and the evaluation of simulations or …
Compression of time series by extracting major extrema
E Fink, HS Gandhi - Journal of Experimental & Theoretical Artificial …, 2011 - Taylor & Francis
We formalise the notion of important extrema of a time series, that is, its major minima and
maxima; analyse the basic mathematical properties of important extrema; and apply these …
maxima; analyse the basic mathematical properties of important extrema; and apply these …
[PDF][PDF] 基于弧度距离的时间序列相似度量
丁永伟， 杨小虎， 陈根才, AJ Kavs - 电子与信息学报, 2011 - edit.jeit.ac.cn
丁永伟* ① 杨小虎① 陈根才① Kavs AJ ② ① (浙江大学计算机科学与技术学院杭州310027) ②
(美国道富银行波士顿02111) 摘要: 时间序列的近似表示和相似度量是时间序列数据挖掘的重要 …
(美国道富银行波士顿02111) 摘要: 时间序列的近似表示和相似度量是时间序列数据挖掘的重要 …
Section-wise similarities for clustering and outlier detection of subjective sequential data
OS Siordia, IM de Diego, C Conde… - Similarity-Based Pattern …, 2011 - Springer
In this paper, a novelty methodology for the representation and similarity measurement of
sequential data is presented. First, a linear segmentation algorithm based on feature points …
sequential data is presented. First, a linear segmentation algorithm based on feature points …
Time series similarity search based on middle points and clipping
TS Nguyen, TA Duong - 2011 3rd Conference on Data Mining …, 2011 - ieeexplore.ieee.org
In this paper, we introduce a new time series dimensionality reduction method, MP_C
(Middle points and Clipping). This method is performed by dividing time series into …
(Middle points and Clipping). This method is performed by dividing time series into …