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» Modeling Relational Data as Graphs for Mining
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BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 6 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
ICDE
2009
IEEE
205views Database» more  ICDE 2009»
16 years 6 months ago
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
Keyword queries enjoy widespread usage as they represent an intuitive way of specifying information needs. Recently, answering keyword queries on graph-structured data has emerged ...
Thanh Tran, Haofen Wang, Sebastian Rudolph, Philip...
150
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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 5 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
BPM
2006
Springer
153views Business» more  BPM 2006»
15 years 8 months ago
Decision Mining in ProM
Process-aware Information Systems typically log events (e.g., in transaction logs or audit trails) related to the actual business process executions. Proper analysis of these execu...
Anne Rozinat, Wil M. P. van der Aalst
148
Voted
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 6 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...