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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
WWW
2003
ACM
16 years 5 months ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
125
Voted
DAWAK
2003
Springer
15 years 9 months ago
Fighting Redundancy in SQL
Abstract. Many SQL queries with aggregated subqueries exhibit redundancy (overlap in FROM and WHERE clauses). We propose a method, called the for-loop, to optimize such queries by ...
Antonio Badia, Dev Anand
PPOPP
1993
ACM
15 years 8 months ago
Computation Migration: Enhancing Locality for Distributed-Memory Parallel Systems
We describe computation migration,a new technique that is based on compile-time program transformations, for accessing remote data in a distributed-memory parallel system. In cont...
Wilson C. Hsieh, Paul Wang, William E. Weihl
VISUALIZATION
1998
IEEE
15 years 8 months ago
Hierarchical volume analysis and visualization based on morphological operators
One common problem in the practical application of volume visualization is the proper choice of transfer functions in order to color different parts of the volume meaningfully. Th...
Christoph Lürig, Thomas Ertl