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» Clustering by pattern similarity in large data sets
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 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
CGF
2010
189views more  CGF 2010»
13 years 7 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
FLAIRS
2001
13 years 9 months ago
Tracking Clusters in Evolving Data Sets
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
Daniel Barbará, Ping Chen
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
14 years 1 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
WSDM
2012
ACM
304views Data Mining» more  WSDM 2012»
12 years 3 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...