DATA C

37 papers

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