Sciweavers

ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 10 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
13 years 10 months ago
Subgraph Support in a Single Large Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
ICDM
2007
IEEE
135views Data Mining» more  ICDM 2007»
13 years 10 months ago
Private Inference Control for Aggregate Database Queries
Data security is a critical issue for many organizations. Sensitive data must be protected from both inside and outside attackers. Access control policies and related mechanisms h...
Geetha Jagannathan, Rebecca N. Wright
ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
13 years 10 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...
ICDM
2007
IEEE
127views Data Mining» more  ICDM 2007»
13 years 10 months ago
Automatically Finding Images for Clinical Decision Support
Dina Demner-Fushman, Sameer Antani, Mohammad-Reza ...
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
13 years 10 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
13 years 10 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
13 years 10 months ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICDM
2007
IEEE
98views Data Mining» more  ICDM 2007»
13 years 10 months ago
General Averaged Divergence Analysis
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
13 years 10 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu