Review on geoscience time series big data similarity measurement and index method

He Zhenwen; Wu Chonglong; Liu Gang; Tian Yiping; Zhang Xialin; Chen Qiyu

doi:10.19509/j.cnki.dzkq.2020.0406

Volume 39 Issue 4

Jul. 2020

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Article Navigation > Bulletin of Geological Science and Technology > 2020 > 39(4): 44-50

He Zhenwen, Wu Chonglong, Liu Gang, Tian Yiping, Zhang Xialin, Chen Qiyu. Review on geoscience time series big data similarity measurement and index method[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 44-50. doi: 10.19509/j.cnki.dzkq.2020.0406

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He Zhenwen, Wu Chonglong, Liu Gang, Tian Yiping, Zhang Xialin, Chen Qiyu. Review on geoscience time series big data similarity measurement and index method[J]. Bulletin of Geological Science and Technology, 2020, 39(4): 44-50. doi: 10.19509/j.cnki.dzkq.2020.0406

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Review on geoscience time series big data similarity measurement and index method

doi: 10.19509/j.cnki.dzkq.2020.0406

He Zhenwen^{1a, 1b
,},
Wu Chonglong^{1a, 1b, 2},
Liu Gang^{1a, 1b, 2},
Tian Yiping^{1a, 1b, 2},
Zhang Xialin^{1a, 1b, 2},
Chen Qiyu^{1a, 1b}

Received Date: 18 Nov 2019

Abstract

Abstract

Geoscience time series big data is a kind of multi-sensor, multi-target, multi-resolution, multi-type, and multi-source heterogeneous time data, and is an important data source for machine learning and data mining in the field of geosciences. Geosciences time series data has two categories: the time point data set, and the time interval data set. The main data representation methods, similarity measurements and data indexing methods of existing time series data focus on time-points-based time series data. The core idea of the representation method for time series data is dimensionality reduction. It is the basis of similarity measurement and indexing method, including domain-transformation-based, model-based and pieces-based representation methods. The key of similarity measurement is the similarity distance including lock-step measurement and elasticity measurement. It provides a basic guideline for the aggregation and division of index items in the index of time series data. The efficient similarity measurement and distributed indexing method of multi-source heterogeneous time series big data will be an important further direction in the field of geosciences big data.
- time series data,
- big data,
- representation,
- index,
- similarity measurement

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References(64)

References

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