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Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration.

, , , , , , and . EDBT, page 646-649. OpenProceedings.org, (2018)

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On Data Labeling for Clustering Categorical Data., , and . IEEE Trans. Knowl. Data Eng., 20 (11): 1458-1472 (2008)Feature-preserved sampling over streaming data., , and . ACM Trans. Knowl. Discov. Data, 2 (4): 15:1-15:45 (2009)Mining spatio-temporal chaining patterns in non-identity event databases., , and . Intell. Data Anal., 21 (S1): S71-S102 (2017)Toward Mining Stop-by Behaviors in Indoor Space., , and . ACM Trans. Spatial Algorithms Syst., 3 (2): 7:1-7:38 (2017)Return-of-Interest Conscious Truth Inference for Crowdsourcing Queries., , and . TAAI, page 60-65. IEEE, (2021)Toward Understanding the Mobile Social Properties: An Analysis on Instagram Photo-Sharing Network., , and . ASONAM, page 266-269. ACM, (2015)Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values., , and . ICDM, page 106-113. IEEE Computer Society, (2005)Transferring Knowledge from Text to Predict Disease Onset., , , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 150-163. JMLR.org, (2016)Interactive Unknowns Recommendation in E-Learning Systems., , , , and . ICDM, page 497-506. IEEE Computer Society, (2018)Mobile-friendly and streaming web-based data visualization., , and . TAAI, page 124-129. IEEE, (2016)