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DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
15 years 9 months ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
128
Voted
GEOS
2007
Springer
15 years 9 months ago
Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data
Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
124
Voted
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 4 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
JCP
2006
111views more  JCP 2006»
15 years 3 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
CIKM
1994
Springer
15 years 7 months ago
Hashing by Proximity to Process Duplicates in Spatial Databases
In a spatial database, an object may extend arbitrarily in space. As a result, many spatial data structures e.g., the quadtree, the cell tree, the R+-tree represent an object by p...
Walid G. Aref, Hanan Samet