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» Learning Gaussian Process Models from Uncertain Data
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147
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JMLR
2010
140views more  JMLR 2010»
14 years 9 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 6 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
125
Voted
ER
2006
Springer
96views Database» more  ER 2006»
15 years 6 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, proce...
Sudha Ram, Jun Liu
119
Voted
SEKE
1993
Springer
15 years 6 months ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...
129
Voted
JAIR
2010
147views more  JAIR 2010»
14 years 9 months ago
Cause Identification from Aviation Safety Incident Reports via Weakly Supervised Semantic Lexicon Construction
The Aviation Safety Reporting System collects voluntarily submitted reports on aviation safety incidents to facilitate research work aiming to reduce such incidents. To effectivel...
Muhammad Arshad Ul Abedin, Vincent Ng, Latifur Kha...