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ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
15 years 9 months ago
Tractable Group Detection on Large Link Data Sets
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 10 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken
144
Voted
CORR
2010
Springer
193views Education» more  CORR 2010»
15 years 2 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
15 years 9 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 4 months ago
DiMaC: a disguised missing data cleaning tool
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei