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PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
15 years 8 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
PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 7 months ago
Numbers in Multi-relational Data Mining
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
Arno J. Knobbe, Eric K. Y. Ho
VLDB
2000
ACM
133views Database» more  VLDB 2000»
15 years 5 months ago
Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails
Keyword indices, topic directories, and link-based rankings are used to search and structure the rapidly growing Web today. Surprisingly little use is made of years of browsing ex...
Soumen Chakrabarti, Sandeep Srivastava, Mallela Su...
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
15 years 7 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...
SIGKDD
2008
159views more  SIGKDD 2008»
15 years 1 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett