Charu C. Aggarwal

Charu C. Aggarwal is a person.

• See: Supervised Graph Node Classification, Outlier Detection Algorithm.

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References

• Personal Homepage: http://charuaggarwal.net/index.html
• Google Scholar Author Page: https://scholar.google.com/citations?user=x_wsduUAAAAJ
• DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/a/Aggarwal:Charu_C=.html

2015

• (Aggarwal, 2015) ⇒ Charu C. Aggarwal. (2015). “Data Mining: The Textbook." Elsevier. ISBN: 978-3-319-14142-8

2014

• (Gupta et al., 2014a) ⇒ Madhu Gupta, Jing Gao, Charu C. Aggarwal, and Jiawei Han. (2014). “Outlier Detection for Temporal Data: A Survey.” In: Knowledge and Data Engineering, IEEE Transactions on, 26(9).

2013

• (Aggarwal, 2013) ⇒ Charu C. Aggarwal. (2013). “Outlier Analysis." Springer Publishing Company, Incorporated. ISBN:1461463955, 9781461463955 doi:10.1007/978-1-4614-6396-2

2011

• (Aggarwal et al., 2011) ⇒ Charu C. Aggarwal, Yan Xie, and Philip S. Yu. (2011). “On Dynamic Data-driven Selection of Sensor Streams.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). doi:10.1145/2020408.2020595
• (Jin et al., 2011) ⇒ Ruoming Jin, Lin Liu, and Charu C. Aggarwal. (2011). “Discovering Highly Reliable Subgraphs in Uncertain Graphs.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011). doi:10.1145/2020408.2020569

2010

• (Aggarwal & Wang, 2010a) ⇒ Charu C. Aggarwal, and Haixun Wang, editors. (2010b). “Managing and Mining Graph Data.” Springer. doi:10.1007/978-1-4419-6045-0 ISBN:978-1-4419-6044-3
• (Aggarwal & Wang, 2010) ⇒ Charu C. Aggarwal, and Haixun Wang. (2010b). “Graph Data Management and Mining: A Survey of Algorithms and Applications.” In: (Aggarwal & Wang, 2010a) doi:10.1007/978-1-4419-6045-0_2

2009

• (Aggarwal et al., 2009) ⇒ Charu C. Aggarwal, Yan Li, Jianyong Wang, and Jing Wang. (2009). “Frequent Pattern Mining with Uncertain Data.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557030

2003

• (Aggarwal et al., 2003) ⇒ Charu C. Aggarwal, Jiawei Han, Jianyong Wang, and Philip S. Yu. “A Framework for Clustering Evolving Data Streams." (2003). In: Proceedings of the 29th International Conference on Very large data bases (VLDB 2003).

2001

• (Agarwal et al., 2001) ⇒ Ramesh C. Agarwal, Charu C. Aggarwal, and V. V. V. Prasad. (2001). “A Tree Projection Algorithm for Generation of Frequent Item Sets.” In: Journal of parallel and Distributed Computing 61, no. 3
• (Agrawal et al., 2001) ⇒ Dakshi Agrawal, and Charu C. Aggarwal. (2001). “On the Design and Quantification of Privacy Preserving Data Mining Algorithms.” In: Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp. 247-255. ACM,

1999

• (Aggarwal et al., 1999a) ⇒ Charu C. Aggarwal, Stephen C. Gates, and Philip S. Yu. (1999). “On the Merits of Building Categorization Systems by Supervised Clustering.” In: Proceedings of the fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi:10.1145/312129.312279
• (Aggarwal et al., 1999b) ⇒ Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Cecilia Procopiuc, and Jong Soo Park. (1999). “Fast Algorithms for Projected Clustering.” In: Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data. http://dx.doi.org/10.1145/304182.304188

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