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» Range counting over multidimensional data streams
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NIPS
2004
14 years 11 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
14 years 10 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
GIS
2008
ACM
15 years 10 months ago
Monitoring continuous queries over streaming locations
We report on our experience from design and implementation of a powerful map application for managing, querying and visualizing evolving locations of moving objects. Instead of bu...
Kostas Patroumpas, Evi Kefallinou, Timos K. Sellis
SIGMOD
2010
ACM
198views Database» more  SIGMOD 2010»
15 years 2 months ago
Continuous analytics over discontinuous streams
Continuous analytics systems that enable query processing over steams of data have emerged as key solutions for dealing with massive data volumes and demands for low latency. Thes...
Sailesh Krishnamurthy, Michael J. Franklin, Jeffre...
DEXA
2005
Springer
80views Database» more  DEXA 2005»
15 years 3 months ago
Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices
Bitmap indices are efficient data structures for processing complex, multi-dimensional queries in data warehouse applications and scientific data analysis. For high-cardinality at...
Doron Rotem, Kurt Stockinger, Kesheng Wu