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» The Predictability of Data Values
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ESEM
2007
ACM
15 years 8 months ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
SCAI
2008
15 years 8 months ago
CBR for Advice Giving in a Data-Intensive Environment
Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a syst...
Agnar Aamodt
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
15 years 11 months ago
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
Wedescribehow specializeddatabasetechnology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign su...
Ulla Bergsten, Johan Schubert, Per Svensson
NIPS
2008
15 years 8 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Xuming He, Richard S. Zemel
DAC
1998
ACM
16 years 7 months ago
Design Reliability - Estimation through Statistical Analysis of Bug Discovery Data
Statistical analysis of bug discovery data is used in the software industry to check the quality of the testing process and estimate the reliability of the tested program. In this...
Yossi Malka, Avi Ziv