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IPPS
2002
IEEE
14 years 1 months ago
Parallel Incremental 2D-Discretization on Dynamic Datasets
Most current work in data mining assumes that the database is static, and a database update requires rediscovering all the patterns by scanning the entire old and new database. Su...
Srinivasan Parthasarathy, Arun Ramakrishnan
DEBS
2008
ACM
13 years 10 months ago
Replica placement for high availability in distributed stream processing systems
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Thomas Repantis, Vana Kalogeraki
MFCS
2009
Springer
14 years 3 months ago
Query Automata for Nested Words
We study visibly pushdown automata (VPA) models for expressing and evaluating queries, expressed using MSO formulas, on words with a nesting structure (like XML documents). We deļ...
P. Madhusudan, Mahesh Viswanathan
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 8 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...