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» Dynamic Histograms: Capturing Evolving Data Sets
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ICDE
2000
IEEE
95views Database» more  ICDE 2000»
14 years 6 months ago
Dynamic Histograms: Capturing Evolving Data Sets
In this paper, we introduce dynamic histograms, which are constructed and maintained incrementally. We develop several dynamic histogram construction algorithms and show that they...
Donko Donjerkovic, Yannis E. Ioannidis, Raghu Rama...
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
13 years 9 months ago
Self-tuning Histograms: Building Histograms Without Looking at Data
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Ashraf Aboulnaga, Surajit Chaudhuri
VLDB
1999
ACM
140views Database» more  VLDB 1999»
13 years 8 months ago
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
Arnd Christian König, Gerhard Weikum
ISBI
2008
IEEE
14 years 5 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 4 days ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani