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» Theoretical Frameworks for Data Mining
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ACSC
2004
IEEE
13 years 11 months ago
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of genera...
Peter Fule, John F. Roddick
CIKM
2005
Springer
14 years 1 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
DIS
2010
Springer
13 years 6 months ago
Sentiment Knowledge Discovery in Twitter Streaming Data
Micro-blogs are a challenging new source of information for data mining techniques. Twitter is a micro-blogging service built to discover what is happening at any moment in time, a...
Albert Bifet, Eibe Frank
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
14 years 8 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
DIS
2009
Springer
14 years 2 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...