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TKDE
2008
128views more  TKDE 2008»
13 years 7 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
ICDE
2007
IEEE
121views Database» more  ICDE 2007»
14 years 1 months ago
dmFSQL: a Server for Data Mining
At present, we have proceeded to extend SQL into a new language called dmFSQL (data mining Fuzzy Structured Query Language) which can be used to solve real problems of Data Mining...
Ramón Alberto Carrasco, María Amparo...
ESWA
2006
139views more  ESWA 2006»
13 years 7 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
MLDM
2009
Springer
14 years 1 days ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
KDD
1997
ACM
117views Data Mining» more  KDD 1997»
13 years 11 months ago
Deep Knowledge Discovery from Natural Language Texts
Weintroduceaknowledge-basedapproachto deepknowledge discoveryfrom real-world naturallanguagetexts. Datamining, datainterpretation,anddatacleaningareall incorporatedin cycles of qu...
Udo Hahn, Klemens Schnattinger