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Incremental spectral clustering by efficiently updating the eigen-system.

, , , , and . Pattern Recognit., 43 (1): 113-127 (2010)

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Capturing User Interests by Both Exploitation and Exploration., , , , and . User Modeling, volume 4511 of Lecture Notes in Computer Science, page 334-339. Springer, (2007)Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads., , , and . Proc. VLDB Endow., 6 (10): 925-936 (2013)Analyzing communities and their evolutions in dynamic social networks., , , , and . ACM Trans. Knowl. Discov. Data, 3 (2): 8:1-8:31 (2009)Frequent Subtree Mining - An Overview., , , and . Fundam. Informaticae, 66 (1-2): 161-198 (2005)Association Rule Mining on Streams., and . Encyclopedia of Database Systems, Springer US, (2009)Incremental spectral clustering by efficiently updating the eigen-system., , , , and . Pattern Recognit., 43 (1): 113-127 (2010)Integrating clustering and multi-document summarization to improve document understanding., , , , and . CIKM, page 1435-1436. ACM, (2008)Efficient computation of personal aggregate queries on blogs., , , and . KDD, page 632-640. ACM, (2008)Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees., , , and . IEEE Trans. Knowl. Data Eng., 17 (2): 190-202 (2005)ShuttleDB: Database-Aware Elasticity in the Cloud., , , , and . ICAC, page 33-43. USENIX Association, (2014)