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» A Perspective on Databases and Data Mining
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KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 6 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
EDBT
2010
ACM
170views Database» more  EDBT 2010»
15 years 9 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 9 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
ICDE
2007
IEEE
163views Database» more  ICDE 2007»
16 years 7 months ago
Adding Context to Preferences
To handle the overwhelming amount of information currently available, personalization systems allow users to specify the information that interests them through preferences. Most ...
Kostas Stefanidis, Evaggelia Pitoura, Panos Vassil...
SIGMOD
2005
ACM
87views Database» more  SIGMOD 2005»
16 years 6 months ago
When Can We Trust Progress Estimators for SQL Queries?
The problem of estimating progress for long-running queries has recently been introduced. We analyze the characteristics of the progress estimation problem, from the perspective o...
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ram...