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» Evaluating algorithms that learn from data streams
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EDBT
2008
ACM
138views Database» more  EDBT 2008»
16 years 7 months ago
Mine your own business, mine others' news!
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this...
Boualem Benatallah, Guillaume Raschia, Noureddine ...
201
Voted
DOLAP
2000
ACM
15 years 11 months ago
CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major co...
Lixin Fu, Joachim Hammer
AAAI
2008
15 years 9 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
CMMR
2005
Springer
160views Music» more  CMMR 2005»
16 years 10 days ago
The pureCMusic (pCM++) Framework as Open-Source Music Language
The pureCMusic (pCM++) framework gives the possibility to write a piece of music in terms of an algorithmic-composition-based program -also controlled by data streaming from extern...
Leonello Tarabella
CIKM
2006
Springer
15 years 10 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...