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KDD
2009
ACM
187views Data Mining» more  KDD 2009»
14 years 8 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
VLDB
2007
ACM
115views Database» more  VLDB 2007»
14 years 7 months ago
Context-Aware Wrapping: Synchronized Data Extraction
The deep Web presents a pressing need for integrating large numbers of dynamically evolving data sources. To be more automatic yet accurate in building an integration system, we o...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...
PODS
2005
ACM
164views Database» more  PODS 2005»
14 years 7 months ago
Lower bounds for sorting with few random accesses to external memory
We consider a scenario where we want to query a large dataset that is stored in external memory and does not fit into main memory. The most constrained resources in such a situati...
Martin Grohe, Nicole Schweikardt
PODS
2006
ACM
95views Database» more  PODS 2006»
14 years 7 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...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 1 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong