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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 6 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 6 months ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 6 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
14 years 6 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
ICDM
2009
IEEE
121views Data Mining» more  ICDM 2009»
14 years 6 months ago
Algorithms for Large, Sparse Network Alignment Problems
Mohsen Bayati, Margot Gerritsen, David Gleich, Ami...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 6 months ago
A Deep Non-linear Feature Mapping for Large-Margin kNN Classification
Martin Renqiang Min, David A. Stanley, Zineng Yuan...
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
14 years 6 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
ICDM
2009
IEEE
103views Data Mining» more  ICDM 2009»
14 years 6 months ago
Unsupervised Relation Extraction by Massive Clustering
Edgar González, Jordi Turmo
ICDM
2009
IEEE
100views Data Mining» more  ICDM 2009»
14 years 6 months ago
Conditional Models for Non-smooth Ranking Loss Functions
Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattac...
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 6 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling