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KDD
2002
ACM
150views Data Mining» more  KDD 2002»
16 years 7 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
15 years 4 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
16 years 1 days ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
UML
2005
Springer
16 years 21 hour ago
Integrated Model-Based Software Development, Data Access, and Data Migration
In this paper we describe a framework for robust system maintenance that addresses specific challenges of data-centric applications. We show that for data-centric applications, cl...
Behzad Bordbar, Dirk Draheim, Matthias Horn, Ina S...
DMIN
2006
138views Data Mining» more  DMIN 2006»
15 years 8 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel