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» Matching and integration across heterogeneous data sources
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HT
2011
ACM
14 years 3 months ago
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such s...
Ben Steichen, Alexander O'Connor, Vincent Wade
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
13 years 7 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
SSDBM
2005
IEEE
95views Database» more  SSDBM 2005»
15 years 5 months ago
Integrating Heterogeneous Multidimensional Databases
In this paper we present a number of techniques that can be at the basis of a practical integration tool for multidimensional databases. We start by addressing the basic issue of ...
Luca Cabibbo, Riccardo Torlone
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 5 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 6 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...