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» Data Mining Using Fractals and Power Laws
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ICASSP
2010
IEEE
13 years 8 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
TKDE
2012
253views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
—Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
Carlos Ordonez, Zhibo Chen 0002
SIGMETRICS
2010
ACM
187views Hardware» more  SIGMETRICS 2010»
14 years 1 months ago
Can multipath mitigate power law delays?: effects of parallelism on tail performance
—Parallelism has often been used to improve the reliability and efficiency of a variety of different engineering systems. In this paper, we quantify the efficiency of paralleli...
Jian Tan, Wei Wei, Bo Jiang, Ness Shroff, Donald F...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 9 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
IADIS
2008
13 years 10 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov