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SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
16 years 4 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 4 months ago
Measuring Discrimination in Socially-Sensitive Decision Records.
Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
Dino Pedreschi, Franco Turini, Salvatore Ruggieri
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
16 years 4 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
16 years 1 months ago
Tagging with Queries: How and Why?
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this wo...
Ioannis Antonellis, Hector Garcia-Molina, Jawed Ka...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 1 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...
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