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» Joining Interval Data in Relational Databases
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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
ICDE
2007
IEEE
127views Database» more  ICDE 2007»
14 years 9 months ago
Supporting Streaming Updates in an Active Data Warehouse
Active Data Warehousing has emerged as an alternative to conventional warehousing practices in order to meet the high demand of applications for up-to-date information. In a nutsh...
Neoklis Polyzotis, Spiros Skiadopoulos, Panos Vass...
DEBS
2007
ACM
13 years 11 months ago
Temporal order optimizations of incremental joins for composite event detection
Queries for composite events typically involve the four complementary dimensions of event data, event composition, relationships between events (esp. temporal and causal), and acc...
François Bry, Michael Eckert
SSDBM
2007
IEEE
116views Database» more  SSDBM 2007»
14 years 1 months ago
A Distributed Algorithm for Joins in Sensor Networks
Given their autonomy, flexibility and large range of functionality, wireless sensor networks can be used as an effective and discrete means for monitoring data in many domains. T...
Alexandru Coman, Mario A. Nascimento
ICDE
2008
IEEE
140views Database» more  ICDE 2008»
14 years 9 months ago
Top-k Spatial Joins of Probabilistic Objects
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
Vebjorn Ljosa, Ambuj K. Singh