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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
16 years 1 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
SIGMOD
2004
ACM
100views Database» more  SIGMOD 2004»
16 years 6 months ago
Cost-Based Labeling of Groups of Mass Spectra
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Lei Chen 0003, Zheng Huang, Raghu Ramakrishnan
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 6 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
15 years 4 months ago
Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks
Abstract-- The efficiency of distributed sensor networks depends on an optimal trade-off between the usage of resources and data quality. The work in this paper addresses the probl...
Amanda Prorok, Christopher M. Cianci, Alcherio Mar...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 10 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim