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» The data mining approach to automated software testing
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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
14 years 11 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
ICCS
2009
Springer
15 years 4 months ago
Frequent Itemset Mining for Clustering Near Duplicate Web Documents
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use ...
Dmitry I. Ignatov, Sergei O. Kuznetsov
VRML
2004
ACM
15 years 3 months ago
Interactive Web-based visualisation of block model data
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Tony Gill, Con Caris, Guy LeBlanc Smith
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
PROMISE
2010
14 years 4 months ago
Case-based reasoning vs parametric models for software quality optimization
Background: There are many data mining methods but few comparisons between them. For example, there are at least two ways to build quality optimizers, programs that find project o...
Adam Brady, Tim Menzies