An introduction to outlier analysis CC Aggarwal, CC Aggarwal Outlier analysis, 1-34, 2017 | 3787 | 2017 |
Neural networks and deep learning CC Aggarwal springer 10 (978), 3, 2018 | 3254 | 2018 |
Data classification CC Aggarwal, CC Aggarwal Data Mining: The Textbook, 285-344, 2015 | 3207 | 2015 |
Data Clustering C Aggarwal Chapman and Hall/CRC, 2013 | 2870* | 2013 |
On the surprising behavior of distance metrics in high dimensional space CC Aggarwal, A Hinneburg, DA Keim Database theory—ICDT 2001: 8th international conference London, UK, January …, 2001 | 2862 | 2001 |
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003 | 2727 | 2003 |
Data mining: the textbook CC Aggarwal springer 1, 1, 2015 | 2399 | 2015 |
Mining text data CC Aggarwal, CC Aggarwal Data Mining: The Textbook, 429-455, 2015 | 2234 | 2015 |
Recommender systems CC Aggarwal Springer International Publishing, 2016 | 2028 | 2016 |
Outlier detection for high dimensional data CC Aggarwal, PS Yu Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001 | 1764 | 2001 |
Fast algorithms for projected clustering CC Aggarwal, JL Wolf, PS Yu, C Procopiuc, JS Park ACM SIGMoD record 28 (2), 61-72, 1999 | 1516 | 1999 |
On the design and quantification of privacy preserving data mining algorithms D Agrawal, CC Aggarwal Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2001 | 1489 | 2001 |
A survey of text classification algorithms CC Aggarwal, CX Zhai Mining text data, 163-222, 2012 | 1476 | 2012 |
A general survey of privacy-preserving data mining models and algorithms CC Aggarwal, SY Philip Privacy-preserving data mining, 11-52, 2008 | 1469 | 2008 |
Outlier detection for temporal data: A survey M Gupta, J Gao, CC Aggarwal, J Han IEEE Transactions on Knowledge and data Engineering 26 (9), 2250-2267, 2013 | 1426 | 2013 |
Data streams: models and algorithms CC Aggarwal Springer Science & Business Media, 2007 | 1300 | 2007 |
Social Network Data Analytics C Aggarwal Springer, 2011 | 1186* | 2011 |
A tree projection algorithm for generation of frequent item sets RC Agarwal, CC Aggarwal, VVV Prasad Journal of parallel and Distributed Computing 61 (3), 350-371, 2001 | 1039 | 2001 |
On k-anonymity and the curse of dimensionality CC Aggarwal VLDB 5, 901-909, 2005 | 997 | 2005 |
A survey of text clustering algorithms CC Aggarwal, CX Zhai Mining text data, 77-128, 2012 | 930 | 2012 |