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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 5 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
PKDD
2000
Springer
151views Data Mining» more  PKDD 2000»
13 years 11 months ago
Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade Model
: Relational representation of objects using graphs reveals much information that cannot be obtained by attribute value representations alone. There are already many databases that...
Takashi Okada, Mayumi Oyama
ICDE
2010
IEEE
750views Database» more  ICDE 2010»
14 years 1 days ago
Efficient and accurate discovery of patterns in sequence datasets
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
Avrilia Floratou, Sandeep Tata, Jignesh M. Patel
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
EDM
2008
141views Data Mining» more  EDM 2008»
13 years 9 months ago
Acquiring Background Knowledge for Intelligent Tutoring Systems
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching st...
Cláudia Antunes