Accessible Streaming Algorithms for the Chi-Square Test
Author:
Affiliation:
1. Denison University
2. Denison University, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3400903.3400905
Reference27 articles.
1. Charu C Aggarwal. 2007. Data streams: models and algorithms. Vol. 31. Springer Science & Business Media. Charu C Aggarwal. 2007. Data streams: models and algorithms. Vol. 31. Springer Science & Business Media.
2. Noga Alon Yossi Matias and Mario Szegedy. 1996. The space complexity of approximating the frequency moments. In STOC (Philadelphia PA US). Noga Alon Yossi Matias and Mario Szegedy. 1996. The space complexity of approximating the frequency moments. In STOC (Philadelphia PA US).
3. Fabrizio Angiulli and Fabio Fassetti. 2007. Detecting Distance-based Outliers in Streams of Data. In CIKM. Fabrizio Angiulli and Fabio Fassetti. 2007. Detecting Distance-based Outliers in Streams of Data. In CIKM.
4. Amit Chakrabarti Khanh Do Ba and S. Muthukrishnan. 2006. Estimating Entropy and Entropy Norm on Data Streams. In STACS. Amit Chakrabarti Khanh Do Ba and S. Muthukrishnan. 2006. Estimating Entropy and Entropy Norm on Data Streams. In STACS.
5. Edith Cohen and Haim Kaplan. 2013. What You Can Do with Coordinated Samples. In RANDOM/APPROX (Berkeley CA USA). Edith Cohen and Haim Kaplan. 2013. What You Can Do with Coordinated Samples. In RANDOM/APPROX (Berkeley CA USA).
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