Modeling Similarities Among Multi-Dimensional Financial Time Series
IEEE Access, 2018 Pairs trading is one of the most successful strategies for stock investment. The performance of pairs trading heavily depends on modeling how similarity of two paired financial signals.
Dawei Cheng +3 more
doaj +1 more source
Context-aware adaptive data stream mining [PDF]
, 2009 In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady +9 more
core +1 more source
Data Science and Big Data in Energy Forecasting
Energies, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Francisco Martínez-Álvarez +2 more
doaj +1 more source
SEGMENTATION OF RELATED TIME SERIES BY THE EXAMPLE OF RADON VOLUMETRIC ACTIVITY AND ATMOSHERE PRESSURE [PDF]
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2010 This paper is devoted to the results of using related time series segmentation method based on Grager test to the radon volumetric activity and atmosphere pressure ...
Tristanov A.B. +2 more
doaj
Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned [PDF]
, 2012 Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically
Caraça-Valente Hernández, Juan Pedro +3 more
core +1 more source
KDiscShapeNet: A Structure-Aware Time Series Clustering Model with Supervised Contrastive Learning
MathematicsTime series clustering plays a vital role in various analytical and pattern recognition tasks by partitioning structurally similar sequences into semantically coherent groups, thereby facilitating downstream analysis.
Xi Chen +3 more
doaj +1 more source
Public Response to “the MOOC Movement” in China: Examining the Time Series of Microblogging
International Review of Research in Open and Distributed Learning, 2015 In China, microblogging is an extremely popular activity and is proving to be an effective mechanism to gauge perceptions about social phenomena. Between 2010 and 2015 Sina Weibo, China’s largest microblogging website, generated 95,015 postings from 62 ...
Jingjing Zhang +3 more
doaj +1 more source
Abridged Symbolic Representation of Time Series for Clustering
Acta Universitatis Lodziensis. Folia Oeconomica, 2019 In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base searching.
Jerzy Korzeniewski
doaj +1 more source
Power system transient security assessment based on multi-channel time series data mining
Energy Reports, 2022 In the context of the clean energy revolution and the high penetration of renewables and power electronics, data-driven Transient Security Assessment (TSA) models can significantly reduce the computational burden of power system TSA and adapt to the ...
Kangkang Wang +5 more
doaj +1 more source
Survey on Feature Representation and Similarity Measurement of Time Series
Jisuanji kexue yu tansuo, 2021 Time series is a group of random numbers which are composed of the values of the same index according to the time sequence. With the rapid development of science and technology, the application of time series in the field of data mining becomes more and ...
SUN Dongpu, QU Li
doaj +1 more source