A new retrieval method based on time series variation using field association terms

2017 ◽  
Vol 41 (15) ◽  
pp. 5780-5791
Author(s):  
El-Sayed Atlam ◽  
Fayed Ghaleb ◽  
Azaa Taha ◽  
Aya Ismail
Keyword(s):  
Time Series ◽  
Retrieval Method ◽  
Field Association

scholarly journals A New Approach of Time Series Variation Based on Power Links and Field Association Words

2020 ◽  
Vol 08 (03) ◽  
pp. 72-85
Author(s):  
Zohair S. Malki ◽  
El-Sayed Atlam ◽  
Talal H. Noor ◽  
Ahmad Reda Alzighaibi ◽  
Ghada Elmarhomy ◽  
...  
Keyword(s):  
Time Series ◽  
New Approach ◽  
Field Association

Multi-resolution Representation for Streaming Time Series Retrieval

2020 ◽  
pp. 2150019
Author(s):  
Wei Luo ◽  
Yongqi Li ◽  
Fubin Yao ◽  
Shaokun Wang ◽  
Zhen Li ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Representation ◽  
Streaming Data ◽  
Series Data ◽  
Retrieval Method ◽  
Retrieval Efficiency ◽  
Efficient Retrieval ◽  
Real World Datasets ◽  
The One

Streaming time series retrieval (TSR) has been widely concerned in academia and industry. Considering the large volume, high dimensionality and continuous accumulation features of time series, there is limited capability to perform in-depth similarity searching directly on the raw time series data. Therefore, time series representation, which can provide the dimension reduction-based approximate results for the raw data, should be utilized in the first step for streaming TSR. However, the existing representation-based TSR methods mainly have two limitations: on the one hand, the representation efficiency of the current methods is too slow to adapt for real-time streaming time series representation; on the other hand, the retrieval efficiency of them is also not ideal, and thus fails to recognize the specific given sequence patterns on the streaming data effectively. In this paper, we present an efficient retrieval method on streaming time series. Concretely, our method can incrementally represent the features of streaming data to automatically prune the corresponding dissimilar sequences and retain the most similar candidates for efficient one-pass searching. Extensive experiments on real world datasets have been conducted to demonstrate the superiority of our method.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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