Abstract is missing.
- Pattern Detection and DiscoveryDavid J. Hand. 1-12 [doi]
- Detecting Interesting InstancesKatharina Morik. 13-23 [doi]
- Complex Data: Mining Using PatternsArno Siebes, Zbigniew R. Struzik. 24-35 [doi]
- Determining Hit Rate in Pattern SearchRichard J. Bolton, David J. Hand, Niall M. Adams. 36-48 [doi]
- An Unsupervised Algorithm for Segmenting Categorical Timeseries into EpisodesPaul R. Cohen, Brent Heeringa, Niall M. Adams. 49-62 [doi]
- If You Can t See the Pattern, Is It There?Antony Unwin. 63-76 [doi]
- Dataset Filtering Techniques in Constraint-Based Frequent Pattern MiningMarek Wojciechowski, Maciej Zakrzewicz. 77-91 [doi]
- Concise Representations of Association RulesMarzena Kryszkiewicz. 92-109 [doi]
- Constraint-Based Discovery and Inductive Queries: Application to Association Rule MiningBaptiste Jeudy, Jean-François Boulicaut. 110-124 [doi]
- Relational Association Rules: Getting WARMeRBart Goethals, Jan Van den Bussche. 125-139 [doi]
- Mining Text Data: Special Features and PatternsMiguel Delgado, Maria J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda. 140-153 [doi]
- Modelling and Incorporating Background Knowledge in the Web Mining ProcessMyra Spiliopoulou, Carsten Pohle. 154-169 [doi]
- Modeling Information in Textual Data Combining Labeled and Unlabeled DataDunja Mladenic. 170-179 [doi]
- Discovery of Frequent Word Sequences in TextHelena Ahonen-Myka. 180-189 [doi]
- Pattern Detection and Discovery: The Case of Music Data MiningPierre-Yves Rolland, Jean-Gabriel Ganascia. 190-198 [doi]
- Discovery of Core Episodes from SequencesFrank Höppner. 199-213 [doi]
- Patterns of Dependencies in Dynamic Multivariate DataUrsula Gather, Roland Fried, Michael Imhoff, Claudia Becker. 214-226 [doi]