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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 9 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
ICTAI
2009
IEEE
14 years 3 months ago
Preventing Unwanted Social Inferences with Classification Tree Analysis
A serious threat to user privacy in new mobile and web2.0 applications stems from ‘social inferences’. These unwanted inferences are related to the users’ identity, current ...
Sara Motahari, Sotirios G. Ziavras, Quentin Jones
IUI
2009
ACM
14 years 6 months ago
Searching large indexes on tiny devices: optimizing binary search with character pinning
The small physical size of mobile devices imposes dramatic restrictions on the user interface (UI). With the ever increasing capacity of these devices as well as access to large o...
Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson...
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
14 years 1 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
AAAI
2011
12 years 9 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...