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ORCIDPattern Detection and Discovery 2002: London, UK
- David J. Hand, Niall M. Adams, Richard J. Bolton:
Pattern Detection and Discovery, ESF Exploratory Workshop, London, UK, September 16-19, 2002, Proceedings. Lecture Notes in Computer Science 2447, Springer 2002, ISBN 3-540-44148-4
General Issues
- David J. Hand:
Pattern Detection and Discovery. 1-12 - Katharina Morik:
Detecting Interesting Instances. 13-23 - Arno Siebes, Zbigniew R. Struzik
:
Complex Data: Mining Using Patterns. 24-35 - Richard J. Bolton, David J. Hand, Niall M. Adams:
Determining Hit Rate in Pattern Search. 36-48 - Paul R. Cohen, Brent Heeringa, Niall M. Adams:
An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes. 49-62 - Antony Unwin:
If You Can't See the Pattern, Is It There? 63-76
Association Rules
- Marek Wojciechowski, Maciej Zakrzewicz:
Dataset Filtering Techniques in Constraint-Based Frequent Pattern Mining. 77-91 - Marzena Kryszkiewicz:
Concise Representations of Association Rules. 92-109 - Baptiste Jeudy, Jean-François Boulicaut:
Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining. 110-124 - Bart Goethals, Jan Van den Bussche:
Relational Association Rules: Getting WARMeR. 125-139
Text and Web Mining
- Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Mining Text Data: Special Features and Patterns. 140-153 - Myra Spiliopoulou, Carsten Pohle:
Modelling and Incorporating Background Knowledge in the Web Mining Process. 154-169 - Dunja Mladenic:
Modeling Information in Textual Data Combining Labeled and Unlabeled Data. 170-179 - Helena Ahonen-Myka:
Discovery of Frequent Word Sequences in Text. 180-189
Applications
- Pierre-Yves Rolland, Jean-Gabriel Ganascia:
Pattern Detection and Discovery: The Case of Music Data Mining. 190-198 - Frank Höppner:
Discovery of Core Episodes from Sequences. 199-213 - Ursula Gather, Roland Fried, Michael Imhoff, Claudia Becker:
Patterns of Dependencies in Dynamic Multivariate Data. 214-226
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