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ISMIS
2009
Springer
16 years 1 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
16 years 1 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
157
Voted
PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
16 years 27 days 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
AUSDM
2006
Springer
93views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Visualisation and Exploration of Scientific Data Using Graphs
Abstract. We present a prototype application for graph-based data exploration and mining, with particular emphasis on scientific data. The application has a Flash-based graphical i...
Ben Raymond, Lee Belbin
KDD
1995
ACM
128views Data Mining» more  KDD 1995»
15 years 10 months ago
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
The main objective of machine discovery is the determination of relations between data and of data models. In the paper we describe a method for discovery of data models represent...
Andrzej Skowron, Zbigniew Suraj