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IJBIDM
2008
114views more  IJBIDM 2008»
14 years 12 months ago
Traffic mining in a road-network: How does the traffic flow?
: The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we und...
Irene Ntoutsi, Nikos Mitsou, Gerasimos Marketos
CIKM
2010
Springer
14 years 10 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 3 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
EAAI
2007
93views more  EAAI 2007»
14 years 11 months ago
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 7 days ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu