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» Large Scale Data Mining: Challenges and Responses
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IPPS
2000
IEEE
15 years 10 months ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
EUSFLAT
2007
186views Fuzzy Logic» more  EUSFLAT 2007»
15 years 7 months ago
Forest of Fuzzy Decision Trees and Their Application in Video Mining
One of the great challenges today is to index videos with high-level semantic concepts or features. The basis of our approach is to use a fuzzy decision trees (FDT) to construct t...
Marcin Detyniecki, Christophe Marsala
WLP
2004
Springer
15 years 11 months ago
SQL Based Frequent Pattern Mining with FP-Growth
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
JIIS
2006
113views more  JIIS 2006»
15 years 6 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 5 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...