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» Leveraging COUNT Information in Sampling Hidden Databases
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SIGMOD
2002
ACM
135views Database» more  SIGMOD 2002»
14 years 7 months ago
StatiX: making XML count
The availability of summary data for XML documents has many applications, from providing users with quick feedback about their queries, to cost-based storage design and query opti...
Juliana Freire, Jayant R. Haritsa, Maya Ramanath, ...
NIPS
2007
13 years 8 months ago
Collective Inference on Markov Models for Modeling Bird Migration
We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
KAIS
2011
129views more  KAIS 2011»
13 years 2 months ago
Counting triangles in real-world networks using projections
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
Charalampos E. Tsourakakis
ICDE
2004
IEEE
94views Database» more  ICDE 2004»
14 years 8 months ago
A Probabilistic Approach to Metasearching with Adaptive Probing
An ever increasing amount of valuable information is stored in Web databases, "hidden" behind search interfaces. To save the user's effort in manually exploring eac...
Zhenyu Liu, Chang Luo, Junghoo Cho, Wesley W. Chu
CIKM
2009
Springer
14 years 1 days ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An