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PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
14 years 3 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa

Publication
197views
12 years 5 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
SBIA
2004
Springer
14 years 2 months ago
SKDQL: A Structured Language to Specify Knowledge Discovery Processes and Queries
Tools and techniques used for automatic and smart analysis of huge data repositories of industries, governments, corporations and scientific institutes are the subjects dealt by th...
Marcelino Pereira dos Santos Silva, Jacques Robin
AAAI
2010
13 years 10 months ago
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show ...
Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes
SEBD
2003
98views Database» more  SEBD 2003»
13 years 10 months ago
PAtterns for Next-generation DAtabase systems: preliminary results of the PANDA project
Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data mining in order to reduce the complexity of data manag...
Ilaria Bartolini, Elisa Bertino, Barbara Catania, ...