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» An algorithmic approach to knowledge evolution
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PVLDB
2010
117views more  PVLDB 2010»
15 years 3 months ago
Distance-Based Outlier Detection: Consolidation and Renewed Bearing
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
DEXA
2008
Springer
132views Database» more  DEXA 2008»
15 years 7 months ago
Efficient Updates for Continuous Skyline Computations
We address the problem of maintaining continuous skyline queries efficiently over dynamic objects with d dimensions. Skyline queries are an important new search capability for mult...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
EDBT
2011
ACM
199views Database» more  EDBT 2011»
14 years 9 months ago
Finding closed frequent item sets by intersecting transactions
Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
Christian Borgelt, Xiaoyuan Yang, Rubén Nog...
BMCBI
2010
133views more  BMCBI 2010»
15 years 5 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
ATAL
2010
Springer
15 years 6 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...