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DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 9 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
KDD
1995
ACM
227views Data Mining» more  KDD 1995»
13 years 11 months ago
Applying a Data Miner To Heterogeneous Schema Integration
Anapplication of data miningtechniques to heterogeneous database schemaintegration is introduced. We use attribute-oriented induction to minefor characteristic and classification ...
Son Dao, Brad Perry
SWAP
2008
13 years 8 months ago
A Note on the Evaluation of Inductive Concept Classification Procedures
Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
GIS
2008
ACM
14 years 8 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
EAAI
2007
99views more  EAAI 2007»
13 years 7 months ago
Data mining for agent reasoning: A synergy for training intelligent agents
The task-oriented nature of data mining (DM) has already been dealt successfully with the employment of intelligent agent systems that distribute tasks, collaborate and synchroniz...
Andreas L. Symeonidis, Kyriakos C. Chatzidimitriou...