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SAC
2010
ACM
15 years 1 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
IUI
2011
ACM
14 years 9 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
NAR
2011
225views Computer Vision» more  NAR 2011»
14 years 9 months ago
PHOSIDA 2011: the posttranslational modification database
The primary purpose of PHOSIDA (http://www .phosida.com) is to manage posttranslational modification sites of various species ranging from bacteria to human. Since its last report...
Florian Gnad, Jeremy Gunawardena, Matthias Mann 00...
ICDE
2006
IEEE
174views Database» more  ICDE 2006»
16 years 7 months ago
Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
"Sparse" data, in which relations have many attributes that are null for most tuples, presents a challenge for relational database management systems. If one uses the no...
Jennifer L. Beckmann, Alan Halverson, Rajasekar Kr...
KDD
2006
ACM
107views Data Mining» more  KDD 2006»
16 years 6 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...