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ACMSE
2008
ACM
15 years 5 months ago
Mining frequent sequential patterns with first-occurrence forests
In this paper, a new pattern-growth algorithm is presented to mine frequent sequential patterns using First-Occurrence Forests (FOF). This algorithm uses a simple list of pointers...
Erich Allen Peterson, Peiyi Tang
FIMI
2004
212views Data Mining» more  FIMI 2004»
15 years 5 months ago
A Space Optimization for FP-Growth
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
Eray Özkural, Cevdet Aykanat
ICANN
2009
Springer
15 years 7 months ago
Classification Based on Combination of Kernel Density Estimators
Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
Mateusz Kobos, Jacek Mandziuk
EDBT
2012
ACM
216views Database» more  EDBT 2012»
13 years 6 months ago
Effectively indexing the multi-dimensional uncertain objects for range searching
The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global po...
Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin
SEMWEB
2010
Springer
15 years 1 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin