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CIKM
2010
Springer
13 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
11 years 10 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
KDD
2012
ACM
242views Data Mining» more  KDD 2012»
11 years 10 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
EDBT
2012
ACM
228views Database» more  EDBT 2012»
11 years 10 months ago
Towards scalable data integration under constraints
In this paper we consider the problem of answering queries using views, with or without ontological constraints, which is important for data integration, query optimization, and d...
George Konstantinidis, José Luis Ambite
TKDE
2002
133views more  TKDE 2002»
13 years 7 months ago
ImageMap: An Image Indexing Method Based on Spatial Similarity
We introduce ImageMap, as a method for indexing and similarity searching in Image DataBases (IDBs). ImageMap answers "queries by example", involving any number of object...
Euripides G. M. Petrakis, Christos Faloutsos, King...