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» Set cover algorithms for very large datasets
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VLDB
1997
ACM
78views Database» more  VLDB 1997»
15 years 1 months ago
Recovering Information from Summary Data
Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
ATAL
2005
Springer
15 years 3 months ago
Task inference and distributed task management in the Centibots robotic system
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
Charlie Ortiz, Régis Vincent, Benoit Moriss...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 2 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
SIGMOD
2011
ACM
270views Database» more  SIGMOD 2011»
14 years 17 days ago
Automatic discovery of attributes in relational databases
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin O...
SSD
2009
Springer
233views Database» more  SSD 2009»
15 years 4 months ago
Approximate Evaluation of Range Nearest Neighbor Queries with Quality Guarantee
The range nearest-neighbor (NN) query is an important query type in location-based services, as it can be applied to the case that an NN query has a spatial region, instead of a lo...
Chi-Yin Chow, Mohamed F. Mokbel, Joe Naps, Suman N...