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» Mining Frequency Pattern from Mobile Users
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139
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CHI
2007
ACM
16 years 4 months ago
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
As sharing personal media online becomes easier and widely spread, new privacy concerns emerge ? especially when the persistent nature of the media and associated context reveals ...
Shane Ahern, Dean Eckles, Nathaniel Good, Simon Ki...
121
Voted
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 10 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
16 years 4 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
152
Voted
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 4 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
115
Voted
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 10 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong