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» The data mining approach to automated software testing
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DAC
2006
ACM
15 years 10 months ago
Scheduling-based test-case generation for verification of multimedia SoCs
Multimedia SoCs are characterized by a main controller that directs the activity of several cores, each of which is in charge of a stage in the processing of a media stream. The v...
Amir Nahir, Avi Ziv, Roy Emek, Tal Keidar, Nir Ron...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
15 years 10 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...
ICDM
2010
IEEE
99views Data Mining» more  ICDM 2010»
14 years 7 months ago
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Jimeng Sun, Daby Sow, Jianying Hu, Shahram Ebadoll...
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 3 months ago
Search-based mutation testing for Simulink models
The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that muta...
Yuan Zhan, John A. Clark
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
14 years 7 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala