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RC
2007
128views more  RC 2007»
13 years 4 months ago
Bounds on Generalized Linear Predictors with Incomplete Outcome Data
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
Jörg Stoye
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 5 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
VLDB
2007
ACM
141views Database» more  VLDB 2007»
14 years 5 months ago
Query Processing over Incomplete Autonomous Databases
Incompleteness due to missing attribute values (aka "null values") is very common in autonomous web databases, on which user accesses are usually supported through media...
Garrett Wolf, Hemal Khatri, Bhaumik Chokshi, Jianc...
CIKM
2009
Springer
13 years 12 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
PERVASIVE
2006
Springer
13 years 5 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...