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Venkatesh Ganti
- > Home > Persons > Venkatesh Ganti
Publications
- 2007
- [e1]Christoph Koch, Johannes Gehrke, Minos N. Garofalakis, Divesh Srivastava, Karl Aberer, Anand Deshpande, Daniela Florescu, Chee Yong Chan, Venkatesh Ganti, Carl-Christian Kanne, Wolfgang Klas, Erich J. Neuhold:
Proceedings of the 33rd International Conference on Very Large Data Bases, University of Vienna, Austria, September 23-27, 2007. ACM 2007, ISBN 978-1-59593-649-3 [contents] - 2002
- [j8]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan, Wei-Yin Loh:
A Framework for Measuring Differences in Data Characteristics. J. Comput. Syst. Sci. 64(3): 542-578 (2002) - [j7]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
Mining Data Streams under Block Evolution. SIGKDD Explor. 3(2): 1-10 (2002) - 2001
- [j5]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
DEMON: Mining and Monitoring Evolving Data. IEEE Trans. Knowl. Data Eng. 13(1): 50-63 (2001) - 2000
- [j4]Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Ganti:
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets. Data Min. Knowl. Discov. 4(2/3): 127-162 (2000) - [c10]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
DEMON: Mining and Monitoring Evolving Data. ICDE 2000: 439-448 - 1999
- [j3]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
Mining Very Large Databases. Computer 32(8): 38-45 (1999) - [c7]Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehrke, Allison L. Powell, James C. French:
Clustering Large Datasets in Arbitrary Metric Spaces. ICDE 1999: 502-511 - [c6]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
CACTUS - Clustering Categorical Data Using Summaries. KDD 1999: 73-83 - [c5]Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan:
A Framework for Measuring Changes in Data Characteristics. PODS 1999: 126-137 - [c4]Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, Wei-Yin Loh:
BOAT-Optimistic Decision Tree Construction. SIGMOD Conference 1999: 169-180 - 1998
- [c2]Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Ganti:
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets. VLDB 1998: 416-427
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