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166
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JIIS
2007
150views more  JIIS 2007»
15 years 2 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
107
Voted
CIDM
2007
IEEE
15 years 9 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf

Book
301views
17 years 22 days ago
Programming in Standard ML
"Standard ML is a type-safe programming language that embodies many innovative ideas in programming language design. It is a statically typed language, with an extensible type...
Robert Harper
120
Voted
AIME
2003
Springer
15 years 7 months ago
Multi-relational Data Mining in Medical Databases
Abstract. This paper presents the application of a method for mining data in a multi-relational database that contains some information about patients strucked down by chronic hepa...
Amaury Habrard, Marc Bernard, François Jacq...
ICML
2000
IEEE
16 years 3 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore