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CORR
2010
Springer
255views Education» more  CORR 2010»
13 years 5 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
PODS
1999
ACM
160views Database» more  PODS 1999»
13 years 9 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 5 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
EDBT
2006
ACM
156views Database» more  EDBT 2006»
14 years 5 months ago
Indexing Incomplete Databases
Incomplete databases, that is, databases that are missing data, are present in many research domains. It is important to derive techniques to access these databases efficiently. We...
Guadalupe Canahuate, Michael Gibas, Hakan Ferhatos...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
13 years 11 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