Machine Learning and Knowledge Discovery in Databases - Info and Reading Options

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Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Second International Workshop on Knowledge Discovery and User Modeling for Smart Cities (UMCit) -- District Heating Substation Behaviour Modelling for Annotating the Performance -- 1 Introduction -- 2 Methods and Techniques -- 2.1 Sequential Pattern Mining -- 2.2 Clustering Analysis -- 2.3 Distance Measure -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Modeling Evolving User Behavior via Sequential Clustering -- 1 Introduction -- 2 Modeling Evolving User Behavior via Sequential Clustering -- 2.1 Sequential Partitioning Algorithm -- 2.2 Partitioning Algorithms -- 2.3 Dynamic Time Warping Algorithm -- 3 Case Study: Modeling Household Electricity Consumption Behavior -- 3.1 Case Description -- 3.2 Data and Experiments -- 3.3 Results and Discussion -- 4 Conclusions and Future Work -- References -- Recognizing User's Activity and Transport Mode Detection: Maintaining Low-Power Consumption -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 4 Data Preprocessing -- 5 Feature Extraction -- 6 Classification Models -- 6.1 Accelerometer Features -- 7 Evaluation and Results -- 7.1 Effect of Filtering Raw Accelerometer Data on Classification Accuracy -- 7.2 Effect of Location Data on Classification Accuracy -- 8 Conclusion -- References -- Can Twitter Help to Predict Outcome of 2019 Indian General Election: A Deep Learning Based Study -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Hashtags Based Tweets Segregation -- 3.3 Twitter Sentiment Classification -- 3.4 Opinion Analysis Corresponding to Different States -- 4 Conclusion -- References -- Towards Sensing and Sharing Auditory Context Information Using Wearable Device -- 1 Introduction -- 2 Wearable Ambient Sound Sensing System

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