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PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
13 years 11 months ago
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization an...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 3 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
JODS
2006
206views Data Mining» more  JODS 2006»
13 years 5 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim
JIIS
2006
147views more  JIIS 2006»
13 years 5 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia