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» Using Data Mining for Wine Quality Assessment
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129
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ACSW
2004
15 years 5 months ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
133
Voted
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
15 years 2 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
143
Voted
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 10 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
142
Voted
WSDM
2012
ACM
295views Data Mining» more  WSDM 2012»
13 years 11 months ago
A straw shows which way the wind blows: ranking potentially popular items from early votes
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...
Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 4 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...