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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
15 years 12 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
KDD
1997
ACM
213views Data Mining» more  KDD 1997»
15 years 3 months ago
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
Eamonn J. Keogh, Padhraic Smyth
DATE
2008
IEEE
84views Hardware» more  DATE 2008»
15 years 5 months ago
Physically-Aware N-Detect Test Pattern Selection
N-detect test has been shown to have a higher likelihood for detecting defects. However, traditional definitions of Ndetect test do not necessarily exploit the localized characte...
Yen-Tzu Lin, Osei Poku, Naresh K. Bhatti, Ronald D...
EUROPAR
2000
Springer
15 years 2 months ago
Automatic SIMD Parallelization of Embedded Applications Based on Pattern Recognition
This paper investigates the potential for automatic mapping of typical embedded applications to architectures with multimedia instruction set extensions. For this purpose a (patter...
Rashindra Manniesing, Ireneusz Karkowski, Henk Cor...
SIGMOD
2000
ACM
129views Database» more  SIGMOD 2000»
15 years 3 months ago
Mining Frequent Patterns without Candidate Generation
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
Jiawei Han, Jian Pei, Yiwen Yin