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ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
15 years 4 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
ICDE
2007
IEEE
122views Database» more  ICDE 2007»
16 years 3 months ago
Put a Tree Pattern in Your Algebra
To address the needs of data intensive XML applications, a number of efficient tree pattern algorithms have been proposed. Still, most XQuery compilers do not support those algori...
George A. Mihaila, Jérôme Simé...
125
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JASIS
2000
143views more  JASIS 2000»
15 years 2 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
DASFAA
2006
IEEE
126views Database» more  DASFAA 2006»
15 years 8 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
HPCC
2007
Springer
15 years 8 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang