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 …
Time-series data mining
P Esling, C Agon - ACM Computing Surveys (CSUR), 2012 - dl.acm.org
In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …
lead to a collection of organized data called time series. The purpose of time-series data …
Exact indexing of dynamic time war**
The problem of indexing time series has attracted much interest. Most algorithms used to
index time series utilize the Euclidean distance or some variation thereof. However, it has …
index time series utilize the Euclidean distance or some variation thereof. However, it has …
k-shape: Efficient and accurate clustering of time series
The proliferation and ubiquity of temporal data across many disciplines has generated
substantial interest in the analysis and mining of time series. Clustering is one of the most …
substantial interest in the analysis and mining of time series. Clustering is one of the most …
Data mining for the internet of things: literature review and challenges
The massive data generated by the Internet of Things (IoT) are considered of high business
value, and data mining algorithms can be applied to IoT to extract hidden information from …
value, and data mining algorithms can be applied to IoT to extract hidden information from …
Patterns of temporal variation in online media
Online content exhibits rich temporal dynamics, and diverse realtime user generated content
further intensifies this process. However, temporal patterns by which online content grows …
further intensifies this process. However, temporal patterns by which online content grows …
TSclust: An R package for time series clustering
P Montero, JA Vilar - Journal of Statistical Software, 2015 - jstatsoft.org
Time series clustering is an active research area with applications in a wide range of fields.
One key component in cluster analysis is determining a proper dissimilarity measure …
One key component in cluster analysis is determining a proper dissimilarity measure …
[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
A survey of trajectory distance measures and performance evaluation
The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …
research efforts to analyze large-scale trajectory data from a variety of aspects. A …
Toward non-intrusive load monitoring via multi-label classification
Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …
will help utilities make more efficient use of their generation assets by reducing consumers' …