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» Using Data Mining for Wine Quality Assessment
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ICMLA
2004
15 years 7 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
KDD
2012
ACM
292views Data Mining» more  KDD 2012»
13 years 8 months ago
Online allocation of display ads with smooth delivery
Display ads on the Internet are often sold in bundles of thousands or millions of impressions over a particular time period, typically weeks or months. Ad serving systems that ass...
Anand Bhalgat, Jon Feldman, Vahab S. Mirrokni
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 6 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 11 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
MSR
2009
ACM
16 years 23 days ago
A platform for software engineering research
Research in the fields of software quality, maintainability and evolution requires the analysis of large quantities of data, which often originate from open source software proje...
Georgios Gousios, Diomidis Spinellis