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» Using Data Mining for Wine Quality Assessment
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178
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CORR
2011
Springer
203views Education» more  CORR 2011»
14 years 10 months ago
Guided Data Repair
In this paper we present GDR, a Guided Data Repair framework that incorporates user feedback in the cleaning process to enhance and accelerate existing automatic repair techniques...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
Ad quality on TV: predicting television audience retention
This paper explores the impact of television advertisements on audience retention using data collected from television set-top boxes (STBs)1 . In particular, we discuss how the ac...
Yannet Interian, Sundar Dorai-Raj, Igor Naverniouk...
111
Voted
AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
15 years 9 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
133
Voted
SDM
2007
SIAM
139views Data Mining» more  SDM 2007»
15 years 5 months ago
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree
We present an efficient dynamic algorithm for clustering undirected graphs, whose edge property is changing continuously. The algorithm maintains clusters of high quality in pres...
Barna Saha, Pabitra Mitra
170
Voted
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 4 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle