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 I (©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 I -- Contents -- Part II -- Automating Data Science -- The ABC of Data: A Classifying Framework for Data Readiness -- 1 Introduction -- 2 The Framework -- 2.1 Data Bands -- 2.2 Quality Scores -- 3 The Different Levels of Data Readiness -- 3.1 Band C: Conceive -- 3.2 Band B: Believe -- 3.3 Band A: Analyze -- 3.4 Band AA: Allow Analysis -- 3.5 Band AAA: A Clean Dataset -- 4 Deployment -- 5 Discussion -- References -- Automating Common Data Science Matrix Transformations -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Method 5 Experiments -- 5.1 Results with Artificial Data -- 5.2 Results with Real Examples -- 6 Conclusions and Future Work -- References -- DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets -- 1 Introduction -- 2 Automatic Statisticians via Deep Probabilistic Models -- 2.1 Deep and Tractable Probabilistic Models -- 2.2 Mixed Sum-Product Networks (MSPNs) -- 3 DeepNotebooks -- Constructing Data Reports in the Form of Python Notebooks Based on MSPNs -- 4 Computing Statistical Measures Using MSPNs -- 5 Illustrations of DeepNotebooks -- 6 Conclusions -- References HyperUCB: Hyperparameter Optimization Using Contextual Bandits -- 1 Introduction -- 2 Background -- 2.1 Problem Setting -- 2.2 Hyperband -- 2.3 Contextual Bandits -- 3 Contextual HyperUCB -- 4 Empirical Study -- 5 Conclusion and Future Work -- References -- Learning Parsers for Technical Drawings -- 1 Introduction -- 2 Identifying Technical Drawing Elements -- 3 Inductive Logic Programs for Parsing -- 3.1 Standard ILP -- 3.2 ILP with Bootstrapping -- 4 Experiments -- 4.1 Learning Set-Up -- 4.2 Results -- References -- Meta-learning of Textual Representations -- 1 Introduction -- 2 Related Work 3 Recommending Textual Representations -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Towards ReinBo -- 3.2 Connections to Hyperband -- 3.3 Connection and Extension to Hierarchical Reinforcement Learning -- 3.4 Procedures of ReinBo -- 4 Experiments -- 4.1 Implementation, Comparison Methods and Setups -- 4.2 Experiment Results -- 5 Summary and Future Work -- References Supervised Human-Guided Data Exploration -- 1 Introduction and Related Work -- 2 Background -- 3 Supervised Exploration -- 4 Experimental Evaluation -- 4.1 Scalability -- 4.2 Stability -- 4.3 Supervised Exploration of german Data -- 4.4 Supervised Exploration of Bnc Data -- 4.5 Identification of Churners -- 5 Conclusions -- References -- SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract) -- 1 Introduction -- 2 Introduction to SynthLog -- 2.1 ProbLog by Example -- 2.2 SynthLog Theories -- 2.3 A Language for Data Science -- 3 Case Study: Auto-Completion -- 4 Conclusion
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (688 pages)
• Subjects: 006.3/1; Machine learning -- Congresses; Data mining -- Congresses; Data mining; Machine learning; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030438234; 3030438236
• 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.