[1] |
LIANG Z , WANG H Z , DING X O ,et al. Industrial time series determinative anomaly detection based on constraint hypergraph[J]. Knowledge-Based Systems, 2021,233:107548.
|
[2] |
BERGMAN M , MILO T , NOVGORODOV S ,et al. Query-oriented data cleaning with oracles[C]// Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. New York:ACM Press, 2015: 1199-1214.
|
[3] |
SIDDIQUI T , KIM A , LEE J ,et al. Effortless data exploration with zenvisage:an expressive and interactive visual analytics system[J]. arXiv preprint, 2016,arXiv:1604.03583.
|
[4] |
SHOU C L , SHUKLA A . Arachnid:generalized visual data cleaning[C]// Proceedings of the 2019 International Conference on Management of Data. New York:ACM Press, 2019: 1850-1852.
|
[5] |
范举, 陈跃国, 杜小勇 . 人在回路的数据准备技术研究进展[J]. 大数据, 2019,5(6): 1-18.
|
|
FAN J , CHEN Y G , DU X Y . Progress on human-in-the-loop data preparation[J]. Big Data Research, 2019,5(6): 1-18.
|
[6] |
QIN X D , LUO Y Y , TANG N ,et al. Making data visualization more efficient and effective:a survey[J]. The VLDB Journal, 2020,29(1): 93-117.
|
[7] |
DING X O , LIU Y D , WANG H Z ,et al. SNN-AAD:active anomaly detection method for multivariate time series with sparse neural network[C]// International Conference on Database Systems for Advanced Applications. Cham:Springer, 2023: 253-269.
|
[8] |
SATYANARAYAN A , MORITZ D , WONGSUPHASAWAT K ,et al. Vegalite:a grammar of interactive graphics[J]. IEEE Transactions on Visualization and Computer Graphics, 2017,23(1): 341-350.
|
[9] |
HEER J , AGRAWALA M , WILLETT W . Generalized selection via interactive query relaxation[C]// Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York:ACM Press, 2008: 959-968.
|
[10] |
ABEDJAN Z , CHU X , DENG D ,et al. Detecting data errors[J]. Proceedings of the VLDB Endowment, 2016,9(12): 9931004.
|
[11] |
HANRAHAN P . VizQL:a language for query,analysis and visualization[C]// Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. New York:ACM Press, 2006:721.
|
[12] |
DING X O , SONG Y C , WANG H Z ,et al. Cleanits-MEDetect:multiple errors detection for time series data in cleanits[C]// International Conference on Database Systems for Advanced Applications. Cham:Springer, 2023: 674-678.
|
[13] |
KRISHNAN S , WANG J N , WU E ,et al. ActiveClean[J]. Proceedings of the VLDB Endowment, 2016,9(12): 948-959.
|
[14] |
BEYGELZIMER A , DASGUPTA S , LANGFORD J . Importance weighted active learning[C]// Proceedings of the 26th Annual International Conference on Machine Learning. New York:ACM Press, 2009: 49-56.
|
[15] |
LE K H , PAPOTTI P . User-driven error detection for time series with events[C]// Proceedings of 2020 IEEE 36th International Conference on Data Engineering (ICDE). Piscataway:IEEE Press, 2020: 745-757.
|
[16] |
YAKOUT M , ELMAGARMID A K , NEVILLE J ,et al. Guided data repair[J]. arXiv preprint. 2011,arXiv:1103.3103.
|
[17] |
BOSTOCK M , OGIEVETSKY V , HEER J . D3 data-driven documents[J]. IEEE Transactions on Visualization and Computer Graphics, 2011,17(12): 2301-2309.
|
[18] |
XIAO H , BIGGIO B , BROWN G ,et al. Is feature selection secure against training data poisoning?[C]// Proceedings of the 32nd International Conference on International Conference on Machine Learning. New York:ACM Press, 2015: 1689-1698.
|
[19] |
CHARFI M , GRIPAY Y , PETIT J M . Spatio-temporal functional dependencies for sensor data streams[C]// International Symposium on Spatial and Temporal Databases. Cham:Springer, 2017: 182-199.
|
[20] |
LUO Y Y , CHAI C L , QIN X D ,et al. VisClean[J]. Proceedings of the VLDB Endowment, 2020,13(12): 2821-2824.
|