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» Benchmarking Data Mining Algorithms
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ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
15 years 10 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
124
Voted
EURODAC
1994
IEEE
128views VHDL» more  EURODAC 1994»
15 years 7 months ago
A component selection algorithm for high-performance pipelines
The use of a realistic component library with multiple implementations of operators, results in cost ef cient designs; slow components can then be used on non-critical paths and t...
Smita Bakshi, Daniel D. Gajski
137
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KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 4 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
150
Voted
ITCC
2005
IEEE
15 years 9 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
112
Voted
CORR
2002
Springer
104views Education» more  CORR 2002»
15 years 3 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma