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» Phenomenal Data Mining: From Data to Phenomena
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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 1 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
15 years 8 days ago
Detecting Events in a Million New York Times Articles
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...
SISAP
2010
IEEE
132views Data Mining» more  SISAP 2010»
15 years 7 days ago
SHIATSU: annotating your videos the easy way!
In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in...
Ilaria Bartolini, Corrado Romani
EMNLP
2010
14 years 12 months ago
Improving Gender Classification of Blog Authors
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
Arjun Mukherjee, Bing Liu
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
14 years 11 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...