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DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
15 years 4 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
AUSDM
2008
Springer
229views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Growing up is in large measure learning about the world and our social and linguistic environment. We might call this data mining, although it is far more multimodal and immersive...
David M. W. Powers
DMIN
2006
132views Data Mining» more  DMIN 2006»
15 years 4 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
143
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ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
15 years 9 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 7 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut