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» Efficient Mining of Spatiotemporal Patterns
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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
14 years 1 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
IDEAL
2003
Springer
14 years 2 months ago
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Raj P. Gopalan, Yudho Giri Sucahyo
SSD
2005
Springer
173views Database» more  SSD 2005»
14 years 3 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
DASFAA
2006
IEEE
126views Database» more  DASFAA 2006»
14 years 3 months ago
An Efficient Approach for Mining Top-K Fault-Tolerant Repeating Patterns
Abstract. In this paper, an efficient strategy for mining top-K non-trivial faulttolerant repeating patterns (FT-RPs in short) with lengths no less than min_len from data sequences...
Jia-Ling Koh, Yu-Ting Kung
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 9 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor