Data Mining: The Textbook
Yüklə 17,13 Mb.
|
|
Springer, 2008.
C. Aggarwal. Managing and mining sensor data. Springer, 2013. C. Aggarwal, and C. Zhai. Mining text data. Springer, 2012. C. Aggarwal, and C. Reddy. Data clustering: algorithms and applications, CRC Press, 2014.
C. Aggarwal. Data classification: algorithms and applications. CRC Press, 2014. C. Aggarwal, and J. Han. Frequent pattern mining. Springer, 2014. C. Aggarwal. On biased reservoir sampling in the presence of stream evolution. VLDB Conference, pp. 607–618, 2006. C. Aggarwal. A framework for clustering massive-domain data streams. IEEE ICDE Conference, pp. 102–113, 2009. C. Aggarwal, and P. Yu. Online generation of association rules. ICDE Conference, pp. 402–411, 1998. C. Aggarwal, Z. Sun, and P. Yu. Online generation of profile association rules. ACM KDD Conference, pp. 129–133, 1998. C. Aggarwal, J. Han, J. Wang, and P. Yu. A framework for clustering evolving data streams, VLDB Conference, pp. 81–92, 2003. C. Aggarwal. Data streams: models and algorithms. Springer, 2007. C. Aggarwal, J. Wolf, and P. Yu. A new method for similarity indexing of market basket data. ACM SIGMOD Conference, pp. 407–418, 1999. C. Aggarwal, N. Ta, J. Wang, J. Feng, and M. Zaki. Xproj: A framework for projected structural clustering of XML documents. ACM KDD Conference, pp. 46–55, 2007. C. Aggarwal. A human-computer interactive method for projected clustering. IEEE Transactions on Knowledge and Data Engineering, 16(4). pp. 448–460. 2004. C. Aggarwal, and N. Li. On node classification in dynamic content-based networks. SDM Conference, pp. 355–366, 2011. C. Aggarwal, A. Khan, and X. Yan. On flow authority discovery in social networks. SDM Conference, pp. 522–533, 2011. C. Aggarwal, and P. Yu. Outlier detection for high dimensional data. ACM SIGMOD Conference, pp. 37–46, 2011. C. Aggarwal, and P. Yu. On classification of high-cardinality data streams. SDM Conference, 2010. C. Aggarwal, and P. Yu. On clustering massive text and categorical data streams. Knowledge and information systems, 24(2), pp. 171–196, 2010. C. Aggarwal, Y. Xie, and P. Yu. On dynamic link inference in heterogeneous networks. SDM Conference, pp. 415–426, 2011. C. Aggarwal, Y. Xie, and P. Yu. On dynamic data-driven selection of sensor streams. ACM KDD Conference, pp. 1226–1234, 2011. C. Aggarwal. On effective classification of strings with wavelets. ACM KDD Confer-ence, pp. 163–172, 2002. C. Aggarwal. On abnormality detection in spuriously populated data streams. SDM Conference, pp. 80–91, 2005. 698 BIBLIOGRAPHY R. Agrawal, K.-I. Lin, H. Sawhney, and K. Shim. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. VLDB Conference, pp. 490– 501, 1995. R. Agrawal, and J. Shafer. Parallel mining of association rules. IEEE Transactions on Knowledge and Data Engineering, 8(6), pp. 962–969, 1996. Also appears as IBM Research Report, RJ10004, January 1996. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. ACM SIGMOD Conference, pp. 207–216, 1993. R. Agrawal, and R. Srikant. Fast algorithms for mining association rules. VLDB Con-ference, pp. 487–499, 1994. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo. Fast discovery of association rules. Advances in knowledge discovery and data mining, 12, pp. 307–328, 1996. R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace cluster-ing of high dimensional data for data mining applications. ACM SIGMOD Conference, pp. 94–105, 1998. R. Agrawal, and R. Srikant. Mining sequential patterns. IEEE International Confer-ence on Data Engineering, pp. 3–14, 1995. R. Agrawal, and R. Srikant. Privacy-preserving data mining. ACM SIGMOD Confer-ence, pp. 439–450, 2000. M. Agyemang, K. Barker, and R. Alhajj. A comprehensive survey of numeric and symbolic outlier mining techniques. Intelligent Data Analysis, 10(6). pp. 521–538, 2006. R. Ahuja, T. Magnanti, and J. Orlin. Network flows: theory, algorithms, and applica-tions. Prentice Hall, Englewood Cliffs, New Jersey, 1993. M. Al Hasan, and M. J. Zaki. A survey of link prediction in social networks. Social network data analytics, Springer, pp. 243–275, 2011. M. Al Hasan, V. Chaoji, S. Salem, and M. Zaki. Link prediction using supervised learning. SDM Workshop on Link Analysis, Counter-terrorism and Security, 2006. S. Anand, and B. Mobasher. Intelligent techniques for web personalization. Interna-tional conference on Intelligent Techniques for Web Personalization, pp. 1–36, 2003. F. Angiulli, and C. Pizzuti. Fast Outlier detection in high dimensional spaces. Euro-pean Conference on Principles of Knowledge Discovery and Data Mining, pp. 15–27, 2002. F. Angiulli, and F. Fassetti. Detecting distance-based outliers in streams of data. Yüklə 17,13 Mb. Dostları ilə paylaş:
|