Results 21 to 30 of about 751,199 (239)
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
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Data Mining In Oil Price Time Series Analysis [PDF]
, 2015 This paper sums up the applications of statistic models such as ARCH-family models, cointegration theory and Granger causality etc in oil price time series analysis and introduces the method of data mining combined with statistic knowledge to analysis ...
Cao, Litian +3 more
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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
Deep learning for time series classification: a review [PDF]
, 2019 Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been proposed.
Fawaz, Hassan Ismail +4 more
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Data Mining Time Series Data With Virtual Transaction [PDF]
The KIPS Transactions:PartD, 2002 There has been much research on data mining techniques for applying more advanced applications. However, most of those techniques has focused on transaction data rather than time series data. In this paper, we introduce a approach to convert time series data into virtual transaction data for more useful data mining applications.
Min-Su Kim, Cheol-Hwan Kim, Eung-Mo Kim
openaire +1 more source
Temporal knowledge discovery in big BAS data for building energy management [PDF]
, 2015 With the advances of information technologies, today's building automation systems (BASs) are capable of managing building operational performance in an efficient and convenient way.
Fan, Cheng +3 more
core +1 more source
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
, 2019 In many domains, there is significant interest in capturing novel relationships between time series that represent activities recorded at different nodes of a highly complex system.
Agrawal, Saurabh +7 more
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Data-driven pattern identification and outlier detection in time series [PDF]
, 2018 We address the problem of data-driven pattern identification and outlier detection in time series. To this end, we use singular value decomposition (SVD) which is a well-known technique to compute a low-rank approximation for an arbitrary matrix.
D Paul +7 more
core +3 more sources
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