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IJCNN
2006
IEEE
16 years 1 months ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts
CIKM
2009
Springer
15 years 11 months ago
Efficient itemset generator discovery over a stream sliding window
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
Chuancong Gao, Jianyong Wang
186
Voted
KDD
2003
ACM
145views Data Mining» more  KDD 2003»
16 years 7 months ago
Carpenter: finding closed patterns in long biological datasets
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang...
ICDM
2008
IEEE
138views Data Mining» more  ICDM 2008»
16 years 1 months ago
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective
INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial da...
Annalisa Appice, Anna Ciampi, Antonietta Lanza, Do...
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
16 years 1 months ago
Can the Content of Public News Be Used to Forecast Abnormal Stock Market Behaviour?
A popular theory of markets is that they are efficient: all available information is deemed to provide an accurate valuation of an asset at any time. In this paper, we consider ho...
Calum Robertson, Shlomo Geva, Rodney C. Wolff