Sciweavers

24 search results - page 2 / 5
» Probabilistic Optimization of Top N Queries
Sort
View
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
14 years 5 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...
PVLDB
2008
160views more  PVLDB 2008»
13 years 4 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 8 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
ICDE
2010
IEEE
224views Database» more  ICDE 2010»
14 years 5 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...