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ADVIS
2004
Springer
15 years 5 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
GIS
2004
ACM
16 years 23 days ago
Spatio-temporal aggregates over raster image data
Spatial, temporal and spatio-temporal aggregates over continuous streams of remotely sensed image data build a fundamental operation in many applications in the environmental scie...
Jie Zhang, Michael Gertz, Demet Aksoy
PODS
2006
ACM
95views Database» more  PODS 2006»
15 years 12 months ago
Randomized computations on large data sets: tight lower bounds
We study the randomized version of a computation model (introduced in [9, 10]) that restricts random access to external memory and internal memory space. Essentially, this model c...
André Hernich, Martin Grohe, Nicole Schweik...
KAIS
2008
150views more  KAIS 2008»
14 years 11 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
ICDE
2007
IEEE
161views Database» more  ICDE 2007»
15 years 6 months ago
How to scalably and accurately skip past streams
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
Supratik Bhattacharyya, André Madeira, S. M...