Table of Contents

• On the Pareto Principle in Process Mining, Task Mining, and Robotic Process AutomationWil M. P. van der Aalst. 5-12
• From Data to the Press: Data Management for Journalism and Fact-CheckingIoana Manolescu. 13
• Auxiliary Decision-making for Controlled Experiments based on Mid-term Treatment Effect Prediction: Applications in Ant Financial's Offline-payment BusinessGang Li, Huizhi Xie. 19-30 [doi]
• A Framework for Creating Policy-agnostic Programming LanguagesFabian Bruckner, Julia Pampus, Falk Howar. 31-42 [doi]
• Capability-based Scheduling of Scientific Workflows in the CloudMichel Krämer. 43-54 [doi]
• Integrating Lightweight Compression Capabilities into Apache ArrowJuliana Hildebrandt, Dirk Habich, Wolfgang Lehner. 55-66 [doi]
• Classification of Products in Retail using Partially Abbreviated Product Names OnlyOliver Allweyer, Christian Schorr, Rolf Krieger, Andreas Mohr. 67-77 [doi]
• On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based ApproachNery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo. 78-89 [doi]
• Catalog Integration of Low-quality Product Data by Attribute Label RankingOliver Schmidts, Bodo Kraft, Marvin Winkens, Albert Zündorf. 90-101 [doi]
• A Gradient Descent based Heuristic for Solving Regression Clustering ProblemsEnis Kayis. 102-108 [doi]
• Is Open Data Ready for Use by Enterprises? Learnings from Corporate RegistersPavel Krasikov, Timo Obrecht, Christine Legner, Markus Eurich. 109-120 [doi]
• Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text MiningGiacomo Frisoni, Gianluca Moro, Antonella Carbonaro. 121-132 [doi]
• Applied Data Science: An Approach to Explain a Complex Team Ball GameFriedemann Schwenkreis, Eckard Nothdurft. 135-142 [doi]
• Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud DetectionMarine Neyret, Jaouad Ouaggag, Cédric Allain. 143-150 [doi]
• Leveraging Machine Learning for Fake News DetectionElio Masciari, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì. 151-157 [doi]
• Multi-view Clustering Analyses for District Heating SubstationsShahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn. 158-168 [doi]
• Automatic Detection of Gait AsymmetryMaciej Cwierlikowski, Mercedes Torres Torres. 169-176 [doi]
• Hybrid Multi-model Multi-platform (HM3P) DatabasesSven Groppe, Jinghua Groppe. 177-184 [doi]
• Improving Statistical Reporting Data Explainability via Principal Component AnalysisShengkun Xie, Clare Chua-Chow. 185-192 [doi]
• Toward a New Quality Measurement Model for Big DataMandana Omidbakhsh, Olga Ormandjieva. 193-199 [doi]
• Improving Public Sector Efficiency using Advanced Text Mining in the Procurement ProcessNikola Modrusan, Kornelije Rabuzin, Leo Mrsic. 200-206 [doi]
• Reference Data Abstraction and Causal Relation based on Algebraic ExpressionsSusumu Yamasaki, Mariko Sasakura. 207-214 [doi]
• Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda ArchitectureNadeem Iftikhar, Bartosz Piotr Lachowicz, Akos Madarasz, Finn Ebertsen Nordbjerg, Thorkil Baattrup-Andersen, Karsten Jeppesen. 215-222 [doi]
• A Conceptual Framework for a Flexible Data Analytics NetworkDaniel Tebernum, Dustin Chabrowski. 223-233 [doi]
• Identification of Social Influence on Social Networks and Its Use in Recommender Systems: A Systematic ReviewLesly Alejandra Gonzalez Camacho, Solange Nice Alves-Souza. 234-241 [doi]
• Trust Profile based Trust Negotiation for the FHIR StandardEugene Sanzi, Steven A. Demurjian. 242-251 [doi]
• iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light ManagementChristian Roth, Mirja Nitschke, Matthias Hörmann, Dogan Kesdogan. 252-259 [doi]
• Initializing k-means ClusteringChristian Borgelt, Olha Yarikova. 260-267 [doi]
• The Need for an Enterprise Risk Management Framework for Big Data Science ProjectsJeffrey S. Saltz, Sucheta Lahiri. 268-274 [doi]
• Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine LearningFabian Berns, Christian Beecks. 275-282 [doi]
• Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow ManagementTianshu Yang, Nicolas Pasquier, Frédéric Precioso. 283-293 [doi]
• Predicting the Environment of a Neighborhood: A Use Case for FranceNelly Barret, Fabien Duchateau, Franck Favetta, Loïc Bonneval. 294-301 [doi]
• Context-aware Retrieval and Classification: Design and BenefitsKurt Englmeier. 302-309 [doi]
• Sentiment Polarity Classification of Corporate Review Data with a Bidirectional Long-Short Term Memory (biLSTM) Neural Network ArchitectureRob Loke, O. Kachaniuk. 310-317 [doi]
• Towards Self-adaptive Defect Classification in Industrial MonitoringAndreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz. 318-327 [doi]
• A CART-based Genetic Algorithm for Constructing Higher Accuracy Decision TreesElif Ersoy, Erinç Albey, Enis Kayis. 328-338 [doi]