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» Using Data Mining in MURA Graphic Problems
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 3 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
140
Voted
JIIS
2006
113views more  JIIS 2006»
15 years 3 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
130
Voted
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 3 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
IADIS
2004
15 years 4 months ago
OLAP in enterprise decision modelling
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
Perihan Kilimci, Bora Gökçe, Oya Kalip...
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
15 years 10 months ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee