C. Aggarwal, A. Hinneburg, and D. Keim. On the surprising behavior of distance-metrics in high-dimensional space. ICDT Conference, pp. 420–434, 2001.
C. Aggarwal. Managing and mining uncertain data. Springer, 2009.
C. Aggarwal, C. Procopiuc, J. Wolf, P. Yu, and J. Park. Fast algorithms for projected clustering. ACM SIGMOD Conference, pp. 61–72, 1999.
C. Aggarwal, J. Han, J. Wang, and P. Yu. On demand classification of data streams. ACM KDD Conference, pp. 503–508, 2004.
C. Aggarwal. On change diagnosis in evolving data streams. IEEE Transactions on Knowledge and Data Engineering, 17(5), pp. 587–600, 2005.
C. Aggarwal, and P. S. Yu. Finding generalized projected clusters in high dimensional spaces. ACM SIGMOD Conference, pp. 70–81, 2000.
C. Aggarwal, and S. Parthasarathy. Mining massively incomplete data sets by con-ceptual reconstruction. ACM KDD Conference, pp. 227–232, 2001.
C. Aggarwal. Outlier ensembles: position paper. ACM SIGKDD Explorations, 14(2), pp. 49–58, 2012.
C. Aggarwal. On the effects of dimensionality reduction on high dimensional similarity search. ACM PODS Conference, pp. 256–266, 2001.
C. Aggarwal, and H. Wang. Managing and mining graph data. Springer, 2010.
C. Aggarwal, C. Procopiuc, and P. Yu. Finding localized associations in market basket data. IEEE Transactions on Knowledge and Data Engineering, 14(1), pp. 51–62, 2002.
D. Agrawal, and C. Aggarwal. On the design and quantification of privacy-preserving data mining algorithms. ACM PODS Conference, pp. 247–255, 2001.
C. Aggarwal, and P. Yu. Privacy-preserving data mining: models and algorithms.