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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 2 months ago
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bil...
SDM
2007
SIAM
85views Data Mining» more  SDM 2007»
15 years 3 months ago
Kernel Based Detection of Mislabeled Training Examples
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
Hamed Valizadegan, Pang-Ning Tan
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 11 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
DSN
2005
IEEE
15 years 7 months ago
Defeating Memory Corruption Attacks via Pointer Taintedness Detection
Most malicious attacks compromise system security through memory corruption exploits. Recently proposed techniques attempt to defeat these attacks by protecting program control da...
Shuo Chen, Jun Xu, Nithin Nakka, Zbigniew Kalbarcz...
108
Voted
NIPS
2001
15 years 3 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley