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» Time-Series Data Mining in a Geospatial Decision Support
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 8 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...
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
13 years 11 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
ESEM
2007
ACM
13 years 9 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
CASDMKM
2004
Springer
131views Data Mining» more  CASDMKM 2004»
14 years 29 days ago
XML-Based Schemes for Business Project Portfolio Selection
Abstract. Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select...
Jichang Dong, Kin Keung Lai, Shouyang Wang
EDM
2009
132views Data Mining» more  EDM 2009»
13 years 5 months ago
Predicting Students Drop Out: A Case Study
The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data minin...
Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwer...