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» Clustering for music search results
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IFIP12
2007
13 years 10 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
AMR
2008
Springer
288views Multimedia» more  AMR 2008»
13 years 10 months ago
Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Retrieving music from large digital databases is a demanding computational task. The cost for indexing and searching depends not only on the computational effort of measuring music...
Søren Tjagvad Madsen, Rainer Typke, Gerhard...
ISMIR
2005
Springer
123views Music» more  ISMIR 2005»
14 years 2 months ago
Polyphonic Musical Sequence Alignment for Database Search
Finding the best matching database target to a melodic query has been of great interest in the music IR world. The string alignment paradigm works well for this task when comparin...
Bryan Pardo, Manan Sanghi
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
12 years 4 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
IRFC
2011
Springer
13 years 4 days ago
Word Clouds of Multiple Search Results
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...
Rianne Kaptein, Jaap Kamps