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» Large Scale Data Mining: Challenges and Responses
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SIGIR
2010
ACM
15 years 26 days ago
The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10)
The size of the Web as well as user bases of search systems continue to grow exponentially. Consequently, providing subsecond query response times and high query throughput become...
Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucc...
BMCBI
2005
73views more  BMCBI 2005»
15 years 6 months ago
An analysis of extensible modelling for functional genomics data
Background: Several data formats have been developed for large scale biological experiments, using a variety of methodologies. Most data formats contain a mechanism for allowing e...
Andrew R. Jones, Norman W. Paton
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 7 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
16 years 3 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...
ICDE
2010
IEEE
266views Database» more  ICDE 2010»
15 years 6 months ago
Ranking for data repairs
Abstract— Improving data quality is a time-consuming, laborintensive and often domain specific operation. A recent principled approach for repairing dirty database is to use dat...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...