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» Phenomenal Data Mining: From Data to Phenomena
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ER
1999
Springer
108views Database» more  ER 1999»
15 years 11 months ago
Modeling Cyclic Change
Database support of time-varying phenomena typically assumes that entities change in a linear fashion. Many phenomena, however, change cyclically over time. Examples include monsoo...
Kathleen Hornsby, Max J. Egenhofer, Patrick J. Hay...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
FUZZIEEE
2007
IEEE
16 years 29 days ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 8 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi