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GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
15 years 9 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 10 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
EDBT
2006
ACM
179views Database» more  EDBT 2006»
16 years 6 months ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 11 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 6 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook