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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 6 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 6 days ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
KDD
2004
ACM
134views Data Mining» more  KDD 2004»
16 years 6 days ago
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pair
Given a user-specified minimum correlation threshold and a market basket database with N items and T transactions, an all-strong-pairs correlation query finds all item pairs with...
Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Ku...
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
15 years 6 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
IEEEPACT
2009
IEEE
15 years 6 months ago
Flextream: Adaptive Compilation of Streaming Applications for Heterogeneous Architectures
Increasing demand for performance and efficiency has driven the computer industry toward multicore systems. These systems have become the industry standard in almost all segments...
Amir Hormati, Yoonseo Choi, Manjunath Kudlur, Rodr...