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211
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FIMI
2003
88views Data Mining» more  FIMI 2003»
15 years 8 months ago
A fast APRIORI implementation
The efficiency of frequent itemset mining algorithms is determined mainly by three factors: the way candidates are generated, the data structure that is used and the implementati...
Ferenc Bodon
211
Voted
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
15 years 5 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
15 years 5 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
222
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SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 9 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
ICMCS
2008
IEEE
141views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Ranking music data by relevance and importance
Due to the rapidly increasing availability of audio files on the Web, it is relevant to augment search engines with advanced audio search functionality. In this context, the rank...
Maria M. Ruxanda, Alexandros Nanopoulos, Christian...