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» Modeling Relational Data as Graphs for Mining
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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 10 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
BDIM
2008
IEEE
205views Business» more  BDIM 2008»
15 years 10 months ago
Mining semantic relations using NetFlow
—Knowing the dependencies among computing assets and services provides insights into the computing and business landscape, therefore, facilitating low-risk timely changes in supp...
Alexandru Caracas, Andreas Kind, Dieter Gantenbein...
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
15 years 1 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
AUSDM
2006
Springer
93views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Visualisation and Exploration of Scientific Data Using Graphs
Abstract. We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical i...
Ben Raymond, Lee Belbin
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 4 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han