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» Learning Classifiers from Semantically Heterogeneous Data
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AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
14 years 1 months ago
The Scamseek Project - Text Mining for Financial Scams on the Internet
The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Inte...
Jon Patrick
EDBT
2012
ACM
315views Database» more  EDBT 2012»
12 years 2 days ago
Sieve: linked data quality assessment and fusion
The Web of Linked Data grows rapidly and already contains data originating from hundreds of data sources. The quality of data from those sources is very diverse, as values may be ...
Pablo N. Mendes, Hannes Mühleisen, Christian ...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 10 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
LREC
2010
133views Education» more  LREC 2010»
13 years 11 months ago
Towards a Learning Approach for Abbreviation Detection and Resolution
The explosion of biomedical literature and with it the -uncontrolled- creation of abbreviations presents some special challenges for both human readers and computer applications. ...
Klaar Vanopstal, Bart Desmet, Véronique Hos...
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 9 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang