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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 9 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
MLDM
2007
Springer
14 years 2 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
SIGIR
2006
ACM
14 years 2 months ago
You are what you say: privacy risks of public mentions
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
CCS
2004
ACM
14 years 2 months ago
Payload attribution via hierarchical bloom filters
Payload attribution is an important problem often encountered in network forensics. Given an excerpt of a payload, finding its source and destination is useful for many security ...
Kulesh Shanmugasundaram, Hervé Brönnim...
ICTAC
2004
Springer
14 years 2 months ago
A Proof of Weak Termination Providing the Right Way to Terminate
We give an inductive method for proving weak innermost termination of rule-based programs, from which we automatically infer, for each successful proof, a finite strategy for data...
Olivier Fissore, Isabelle Gnaedig, Hél&egra...