Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Xiaoye Miao"'
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-27
Crowdsourcing techniques have been extensively explored in the past decade, including task allocation, quality assessment, and so on. Most of professional crowdsourcing platforms adopt the fixed pricing scheme to offer a fixed price for crowd tasks.
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2048-2062
With the increase of dirty data, data cleaning turns into a crux of data analysis. The accuracy limitation of the existing integrity constraints-based cleaning approaches results from insufficient rules. In this paper, we present a novel hybrid data
Autor:
Jinning Shao, Yue Liu, Jiaqi Yan, Ze-Yi Yan, Yangyang Wu, Zhongying Ru, Jia-Yu Liao, Xiaoye Miao, Linghui Qian
Publikováno v:
Journal of Chemical Information and Modeling. 62:1368-1375
Fluorescent molecules are important tools in biological detection, and numerous efforts have been made to develop compounds to meet the desired photophysical properties. For example, tuning the wavelength allows an appropriate penetration depth with
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-20
Publikováno v:
ACM Computing Surveys; Jul2023, Vol. 55 Issue 6, p1-39, 39p, 1 Illustration
Publikováno v:
Proceedings of the VLDB Endowment. 15:624-632
Data imputation has been extensively explored to solve the missing data problem. The dramatically rising volume of missing data makes the training of imputation models computationally infeasible in real-life scenarios. In this paper, we propose an ef
Publikováno v:
Chen, L, Gao, Y, Song, X, Li, Z, Zhu, Y, Miao, X & Jensen, C S 2022, ' Indexing Metric Spaces for Exact Similarity Search ', ACM Computing Surveys, vol. 55, no. 6, 3534963, pp. 1-39 . https://doi.org/10.1145/3534963
With the continued digitization of societal processes, we are seeing an explosion in available data. This is referred to as big data. In a research setting, three aspects of the data are often viewed as the main sources of challenges when attempting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4cce691e65e6dd86c361374c25262c1
https://vbn.aau.dk/da/publications/0dedf36b-6319-476a-8abc-aa445590d16d
https://vbn.aau.dk/da/publications/0dedf36b-6319-476a-8abc-aa445590d16d
Publikováno v:
Miao, X, Gao, Y, Chen, L, Peng, H, Yin, J & Li, Q 2022, ' Towards Query Pricing on Incomplete Data ', I E E E Transactions on Knowledge & Data Engineering, vol. 34, no. 8, 9204819, pp. 4024-4036 . https://doi.org/10.1109/TKDE.2020.3026031
Data have significant economic or social value in many application fields including science, business, governance, etc. This naturally leads to the emergence of many data markets such as GBDEx and YoueData. As a result, the data trade through data ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27008bdcdb39ce0d6a92755dd4075b2c
https://vbn.aau.dk/ws/files/475859279/Towards_Query_Pricing_on_Incomplete_Data.pdf
https://vbn.aau.dk/ws/files/475859279/Towards_Query_Pricing_on_Incomplete_Data.pdf
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:8983-8991
The missing values, widely existed in multivariate time series data, hinder the effective data analysis. Existing time series imputation methods do not make full use of the label information in real-life time series data. In this paper, we propose a
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:1360-1374
Due to the pervasiveness of incomplete data, incomplete data queries are vital in a large number of real-life scenarios. Current models and approaches for incomplete data queries mainly rely on the machine power. In this paper, we study the problem o