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ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
13 years 11 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
13 years 11 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
13 years 11 months ago
Ask the Crowd to Find out What's Important
We present a corpus-based method for estimating the importance of sentences. Our main contribution is two-fold. First, we introduce the idea of using the increasing amount of manu...
Sisay Fissaha Adafre, Maarten de Rijke
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
13 years 11 months ago
Extracting Author Meta-Data from Web Using Visual Features
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
13 years 11 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
ICDM
2007
IEEE
95views Data Mining» more  ICDM 2007»
13 years 11 months ago
Incremental Quantization for Aging Data Streams
A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
Fatih Altiparmak, David Chiu, Hakan Ferhatosmanogl...
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
13 years 11 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
ICDM
2007
IEEE
134views Data Mining» more  ICDM 2007»
13 years 11 months ago
On Regional Association Rule Scoping
A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamen...
Wei Ding 0003, Christoph F. Eick, Xiaojing Yuan, J...