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» Answering Queries from Statistics and Probabilistic Views
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CIKM
2008
Springer
13 years 10 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
14 years 8 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
ICDE
2010
IEEE
171views Database» more  ICDE 2010»
14 years 8 months ago
Surrogate Ranking for Very Expensive Similarity Queries
1 We consider the problem of similarity search in applications where the cost of computing the similarity between two records is very expensive, and the similarity measure is not a...
Chris Jermaine, Fei Xu, Mingxi Wu, Ravi Jampani, T...
SIGMOD
2002
ACM
119views Database» more  SIGMOD 2002»
14 years 8 months ago
Rate-based query optimization for streaming information sources
Relational query optimizers have traditionally relied upon table cardinalities when estimating the cost of the query plans they consider. While this approach has been and continue...
Stratis Viglas, Jeffrey F. Naughton
ICDE
2005
IEEE
126views Database» more  ICDE 2005»
14 years 9 months ago
A Probabilistic XML Approach to Data Integration
In mobile and ambient environments, devices need to become autonomous, managing and resolving problems without interference from a user. The database of a (mobile) device can be s...
Maurice van Keulen, Ander de Keijzer, Wouter Alink