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» Clustering by pattern similarity in large data sets
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DASFAA
2005
IEEE
191views Database» more  DASFAA 2005»
16 years 2 days ago
An Efficient Approach to Extracting Approximate Repeating Patterns in Music Databases
Pattern extraction from music strings is an important problem. The patterns extracted from music strings can be used as features for music retrieval or analysis. Previous works on ...
Ning-Han Liu, Yi-Hung Wu, Arbee L. P. Chen
CBMS
2005
IEEE
16 years 2 days ago
A Practical Tool for Visualizing and Data Mining Medical Time Series
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
APVIS
2010
15 years 8 months ago
GMap: Visualizing graphs and clusters as maps
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
ICPADS
2006
IEEE
16 years 15 days ago
Oriented Overlays For Clustering Client Requests To Data-Centric Network Services
Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Congchun He, Vijay Karamcheti
WWW
2008
ACM
16 years 7 months ago
Resolving Person Names in Web People Search
Disambiguating person names in a set of documents (such as a set of web pages returned in response to a person name) is a key task for the presentation of results and the automatic...
Krisztian Balog, Leif Azzopardi, Maarten de Rijke