Machine learning and knowledge discovery in databases : International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings.: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. Part II (©2020)

• Record Type: Book
• Further Information: Note: Peggy Cellier, Kurt Driessens (eds.).
• Other Names: Cellier, Peggy; Driessens, Kurt; ECML PKDD (Conference)
• Contents: 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 -- 2.1 Wearable Device -- 2.2 Auditory Sensing Data -- 3 Extracting Context Information -- 3.1 Segmentation of Multi-dimensional Time-Series Data -- 4 Discussion and Future Work -- 5 Conclusion -- References -- Workshop on Data Integration and Applications (DINA) -- Noise Reduction in Distant Supervision for Relation Extraction Using Probabilistic Soft Logic -- 1 Introduction -- 2 Related Work -- 3 Probabilistic Soft Logic 4 HL-MRF Model for Noise Reduction -- 4.1 Prior Model -- 4.2 Consistency Between Predictions of NER Systems -- 4.3 Sentence Structure Analysis -- 4.4 Context-Based Constraints -- 4.5 Semantic Similarity in Noise Reduction -- 5 Experimental Evaluation -- 5.1 Experimental Setup: Data and Models -- 5.2 Experimental Setup: Benchmark Methods -- 5.3 Experimental Results -- 6 Conclusions and Outlook -- References -- Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program -- 1 Introduction -- 1.1 The All of Us Research Program
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (755 pages)
• Subjects: 006.3/1; Machine learning -- Congresses; Data mining -- Congresses; Data mining; Machine learning; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030438876; 3030438872
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.