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Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series
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A Database For Exploratory Analysis of Human Sleep
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Mining for Frequent Events in Time Series
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Faster Training of Neural Networks for Recommender Systems
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Hypothesis-Driven Specialization-based Analysis of Gene Expression Association Rules
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DARM: Distance-Based Association Rule Mining
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Apriori Sets And Sequences: Mining Association Rules from Time Sequence Attributes
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Exploratory Analysis of Human Sleep Data
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Association Rule Mining for Collaborative Recommender Systems
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Mining Oncology Data: Knowledge Discovery in Clinical Performance of Cancer Patients
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An Efficient and Incremental System to Mine Contiguous Frequent Sequences
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Association Rule Based Classification
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Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series
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Data Mining Techniques for Prognosis in Pancreatic Cancer
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