General Issues.- Pattern Detection and Discovery.- Detecting Interesting Instances.- Complex Data: Mining Using Patterns.- Determining Hit Rate in Pattern Search.- An Unsupervised Algorithm for Segmenting Categorical Timeseries into Episodes.- If You Can't See the Pattern, Is It There?.- Association Rules.- Dataset Filtering Techniques in Constraint-Based Frequent Pattern Mining.- Concise Representations of Association Rules.- Constraint-Based Discovery and Inductive Queries: Application to Association Rule Mining.- Relational Association Rules: Getting Warmer.- Text and Web Mining.- Mining Text Data: Special Features and Patterns.- Modelling and Incorporating Background Knowledge in theWeb Mining Process.- Modeling Information in Textual Data Combining Labeled and Unlabeled Data.- Discovery of Frequent Word Sequences in Text.- Applications.- Pattern Detection and Discovery: The Case of Music Data Mining.- Discovery of Core Episodes from Sequences.- Patterns of Dependencies in Dynamic Multivariate Data.
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