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127
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ADC
2006
Springer
169views Database» more  ADC 2006»
15 years 10 months ago
A further study in the data partitioning approach for frequent itemsets mining
Frequent itemsets mining is well explored for various data types, and its computational complexity is well understood. Based on our previous work by Nguyen and Orlowska (2005), th...
Son N. Nguyen, Maria E. Orlowska
PR
2007
81views more  PR 2007»
15 years 3 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
116
Voted
EPIA
2003
Springer
15 years 9 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
144
Voted
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 8 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
132
Voted
ADBIS
2000
Springer
88views Database» more  ADBIS 2000»
15 years 8 months ago
Finding Generalized Path Patterns for Web Log Data Mining
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
Alexandros Nanopoulos, Yannis Manolopoulos