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» A Method for Dynamic Clustering of Data
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ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
15 years 4 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
16 years 7 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
ICIAR
2010
Springer
15 years 3 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
CIBCB
2006
IEEE
16 years 20 days ago
Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses
Abstract–Protein families can be used to reconstruct evolutionary histories of organisms. The accuracy of protein assignment to such families is critical for the success of such ...
Boris Mirkin, Renata da Silva Camargo, Trevor I. F...
SBBD
2000
168views Database» more  SBBD 2000»
15 years 8 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...