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» Structural Inference for Semistructured Data
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SDM
2011
SIAM
284views Data Mining» more  SDM 2011»
14 years 26 days ago
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks
While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomp...
Myunghwan Kim 0002, Jure Leskovec
KES
2004
Springer
15 years 3 months ago
Extracting Biochemical Reaction Kinetics from Time Series Data
We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics ...
Edmund J. Crampin, Patrick E. McSharry, Santiago S...
BMCBI
2007
197views more  BMCBI 2007»
14 years 10 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
15 years 3 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel