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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 7 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
DAGM
1999
Springer
15 years 6 months ago
Knowledge Discovery in Spatial Databases
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
PLDI
2009
ACM
16 years 2 months ago
Automatic generation of library bindings using static analysis
High-level languages are growing in popularity. However, decades of C software development have produced large libraries of fast, timetested, meritorious code that are impractical...
Tristan Ravitch, Steve Jackson, Eric Aderhold, Ben...
ICAC
2006
IEEE
15 years 8 months ago
Learning Application Models for Utility Resource Planning
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...
Piyush Shivam, Shivnath Babu, Jeffrey S. Chase
LREC
2010
166views Education» more  LREC 2010»
15 years 3 months ago
A Derivational Rephrasing Experiment for Question Answering
In Knowledge Management, variations in information expressions have proven a real challenge. In particular, classical semantic relations (e.g. synonymy) do not connect words with ...
Bernard Jacquemin