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ORCID9th DATA 2020: Paris, France
- Slimane Hammoudi, Christoph Quix, Jorge Bernardino:
Proceedings of the 9th International Conference on Data Science, Technology and Applications, DATA 2020, Lieusaint, Paris, France, July 7-9, 2020. SciTePress 2020, ISBN 978-989-758-440-4
Invited Speakers
- Wil M. P. van der Aalst:
On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation. DATA 2020: 5-12 - Ioana Manolescu:
From Data to the Press: Data Management for Journalism and Fact-Checking. DATA 2020: 13
Papers
- Gang Li, Huizhi Xie:
Auxiliary Decision-making for Controlled Experiments based on Mid-term Treatment Effect Prediction: Applications in Ant Financial's Offline-payment Business. 19-30 - Fabian Bruckner, Julia Pampus
, Falk Howar:
A Framework for Creating Policy-agnostic Programming Languages. 31-42 - Michel Krämer:
Capability-based Scheduling of Scientific Workflows in the Cloud. 43-54 - Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
Integrating Lightweight Compression Capabilities into Apache Arrow. 55-66 - Oliver Allweyer, Christian Schorr, Rolf Krieger, Andreas Mohr:
Classification of Products in Retail using Partially Abbreviated Product Names Only. 67-77 - Nery Riquelme-Granada, Khuong An Nguyen, Zhiyuan Luo:
On Generating Efficient Data Summaries for Logistic Regression: A Coreset-based Approach. 78-89 - Oliver Schmidts, Bodo Kraft, Marvin Winkens, Albert Zündorf:
Catalog Integration of Low-quality Product Data by Attribute Label Ranking. 90-101 - Enis Kayis:
A Gradient Descent based Heuristic for Solving Regression Clustering Problems. 102-108 - Pavel Krasikov, Timo Obrecht, Christine Legner, Markus Eurich:
Is Open Data Ready for Use by Enterprises? Learnings from Corporate Registers. 109-120 - Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro:
Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. 121-132 - Friedemann Schwenkreis, Eckard Nothdurft:
Applied Data Science: An Approach to Explain a Complex Team Ball Game. 135-142 - Marine Neyret, Jaouad Ouaggag, Cédric Allain:
Trading Desk Behavior Modeling via LSTM for Rogue Trading Fraud Detection. 143-150 - Elio Masciari, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
Leveraging Machine Learning for Fake News Detection. 151-157 - Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn:
Multi-view Clustering Analyses for District Heating Substations. 158-168 - Maciej Cwierlikowski, Mercedes Torres Torres:
Automatic Detection of Gait Asymmetry. 169-176 - Sven Groppe, Jinghua Groppe:
Hybrid Multi-model Multi-platform (HM3P) Databases. 177-184 - Shengkun Xie, Clare Chua-Chow:
Improving Statistical Reporting Data Explainability via Principal Component Analysis. 185-192 - Mandana Omidbakhsh, Olga Ormandjieva:
Toward a New Quality Measurement Model for Big Data. 193-199 - Nikola Modrusan, Kornelije Rabuzin, Leo Mrsic:
Improving Public Sector Efficiency using Advanced Text Mining in the Procurement Process. 200-206 - Susumu Yamasaki, Mariko Sasakura:
Reference Data Abstraction and Causal Relation based on Algebraic Expressions. 207-214 - Nadeem Iftikhar, Bartosz Piotr Lachowicz, Akos Madarasz, Finn Ebertsen Nordbjerg, Thorkil Baattrup-Andersen, Karsten Jeppesen:
Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. 215-222 - Daniel Tebernum, Dustin Chabrowski:
A Conceptual Framework for a Flexible Data Analytics Network. 223-233 - Lesly Alejandra Gonzalez Camacho, Solange Nice Alves-Souza:
Identification of Social Influence on Social Networks and Its Use in Recommender Systems: A Systematic Review. 234-241 - Eugene Sanzi, Steven A. Demurjian:
Trust Profile based Trust Negotiation for the FHIR Standard. 242-251 - Christian Roth, Mirja Nitschke, Matthias Hörmann, Dogan Kesdogan:
iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management. 252-259 - Christian Borgelt, Olha Yarikova:
Initializing k-means Clustering. 260-267 - Jeffrey S. Saltz, Sucheta Lahiri:
The Need for an Enterprise Risk Management Framework for Big Data Science Projects. 268-274 - Fabian Berns, Christian Beecks:
Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning. 275-282 - Tianshu Yang, Nicolas Pasquier, Frédéric Precioso:
Ensemble Clustering based Semi-supervised Learning for Revenue Accounting Workflow Management. 283-293 - Nelly Barret, Fabien Duchateau, Franck Favetta, Loïc Bonneval:
Predicting the Environment of a Neighborhood: A Use Case for France. 294-301 - Kurt Englmeier:
Context-aware Retrieval and Classification: Design and Benefits. 302-309 - Rob E. Loke, O. Kachaniuk:
Sentiment Polarity Classification of Corporate Review Data with a Bidirectional Long-Short Term Memory (biLSTM) Neural Network Architecture. 310-317 - Andreas Margraf, Jörg Hähner, Philipp Braml, Steffen Geinitz:
Towards Self-adaptive Defect Classification in Industrial Monitoring. 318-327 - Elif Ersoy, Erinç Albey, Enis Kayis:
A CART-based Genetic Algorithm for Constructing Higher Accuracy Decision Trees. 328-338
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