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KDD
2008
ACM
239views Data Mining» more  KDD 2008»
16 years 8 days ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
KDD
2004
ACM
106views Data Mining» more  KDD 2004»
16 years 8 days ago
Early detection of insider trading in option markets
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
Steve Donoho
ER
2007
Springer
102views Database» more  ER 2007»
15 years 3 months ago
Relational Data Tailoring Through View Composition
This paper presents a methodology to derive views over a relational database by applying a sequence of appropriately defined operations to the global schema. Such tailoring and com...
Cristiana Bolchini, Elisa Quintarelli, Rosalba Ros...
PKDD
2007
Springer
130views Data Mining» more  PKDD 2007»
15 years 6 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
1998
ACM
141views Data Mining» more  KDD 1998»
15 years 4 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...