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8th DATA 2019: Prague, Czech Republic
- Slimane Hammoudi, Christoph Quix, Jorge Bernardino:
Proceedings of the 8th International Conference on Data Science, Technology and Applications, DATA 2019, Prague, Czech Republic, July 26-28, 2019. SciTePress 2019, ISBN 978-989-758-377-3
Invited Speakers
- Georgia Koutrika:
The Evolution of Search Over Structured Data: From SQL to Natural Language. DATA 2019: 5 - Manfred Reichert:
Overcoming the Drawbacks of Traditional Process Management Software. DATA 2019: 7
Papers
- Tobias Eljasik-Swoboda, Felix Engel
, Matthias L. Hemmje:
Using Topic Specific Features for Argument Stance Recognition. 13-22 - Diego Perez, Marta Rivera-Alba, Alberto Sanchez-Carralero
Manifold Learning to Identify Consumer Profiles in Real Consumption Data. 23-31 - Yu-Ching Huang, Chieh-Feng Chiang, Arbee L. P. Chen:
Predicting Depression Tendency based on Image, Text and Behavior Data from Instagram. 32-40 - Eduardo Duarte, Diogo Gomes
Distributed and Scalable Platform for Collaborative Analysis of Massive Time Series Data Sets. 41-52 - Fabio Cozzolino, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
A Community Detection Approach for Smart-Phone Addiction Recognition. 53-64 - Kanika Agarwal, Prateek Jain, Mamta A. Rajnayak:
Comparative Analysis of Store Clustering Techniques in the Retail Industry. 65-73 - Reginald Bolman, Thomas Boucher:
Data Mining using Morlet Wavelets for Financial Time Series. 74-83 - Alexander Wurl, Andreas A. Falkner, Alois Haselböck
Exploring Robustness in a Combined Feature Selection Approach. 84-91 - Ahmet Sahin, Kenan Cem Demirel
International Roaming Traffic Optimization with Call Quality. 92-99 - Sara Sharifzadeh
Farm Detection based on Deep Convolutional Neural Nets and Semi-supervised Green Texture Detection using VIS-NIR Satellite Image. 100-108 - Abdallah Salama, Alexander Linke, Igor Pessoa Rocha, Carsten Binnig
XAI: A Middleware for Scalable AI. 109-120 - Mohammad Reza Harati Nik, Wil M. P. van der Aalst
BIpm: Combining BI and Process Mining. 123-128 - Frederik Simon Bäumer
How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer's Openness. 129-136 - Kornelije Rabuzin, Martina Sestak
Creating Triggers with Trigger-By-Example in Graph Databases. 137-144 - Carlos Eiras-Franco, Miguel Flores, Verónica Bolón-Canedo, Sonia Zaragoza
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. 145-151 - Valerie Garises, José G. Quenum:
An Evaluation of Big Data Architectures. 152-159 - Eric Garcia-Cano, Eugenio López-Ortega
Productivity and Impact Analysis of a Research and Technology Development Center using Google Scholar Information. 160-167 - Anastasia Andreasyan
Security Issues of Scientific based Big Data Circulation Analysis. 168-173 - Gokce Aydugan Baydar, Seçil Arslan:
FOCA: A System for Classification, Digitalization and Information Retrieval of Trial Balance Documents. 174-181 - Zheng Hua, Tao Du, Shouning Qu, Tao Mi:
Research on Parallel Incremental Association Rule Algorithm based on Data Stream. DATA 2019: 182-189 - Aigerim Mussina
Improving Indoor Positioning via Machine Learning. 190-195 - Friedemann Schwenkreis
A Graded Concept of an Information Model for Evaluating Performance in Team Handball. 196-202 - Michele Ianni, Elio Masciari, Domenico Saccà:
An Overview of the Endless Battle between Virus Writers and Detectors: How Compilers Can Be Used as an Evasion Technique. 203-208 - Avirup Dasgupta, Asif Gill
A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems. 209-216 - Merih Bozbura, Hünkar Can Tunç, Miray Endican Kusak, Cemal Okan Sakar:
Detection of e-Commerce Anomalies using LSTM-recurrent Neural Networks. 217-224 - D. Himaja, T. Maruthi Padmaja
An Unsupervised Drift Detector for Online Imbalanced Evolving Streams. 225-232 - Shailesh Tripathi, Sonja Strasser
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM. 233-242 - Uwe Hohenstein, Martin Jergler:
Database Performance Comparisons: An Inspection of Fairness. 243-250 - Francisco Mota, Nuno Abreu
A Data Mining Study on Pressure Ulcers. 251-258 - Amila De Silva, Shehan Perera:
A Parallel Bit-map based Framework for Classification Algorithms. 259-266 - Kenan Cem Demirel
Ensemble Learning based on Regressor Chains: A Case on Quality Prediction. 267-274 - Eren Atsiz, Erinç Albey, Enis Kayis:
Effective Training Methods for Automatic Musical Genre Classification. 275-280 - Tobias Eljasik-Swoboda, Christian Rathgeber, Rainer Hasenauer:
Assessing Technology Readiness for Artificial Intelligence and Machine Learning based Innovations. 281-288 - Frederik Situmeang, Rob E. Loke, Nelleke de Boer, Danielle de Boer:
Empowered by Innovation: Unravelling Determinants of Idea Implementation in Open Innovation Platforms. 289-295 - Muhammad Shahbaz, Shahzad Ali
Classification of Alzheimer's Disease using Machine Learning Techniques. 296-303 - Guenter Hesse, Werner Sinzig, Christoph Matthies, Matthias Uflacker:
Application of Data Stream Processing Technologies in Industry 4.0: What is Missing? 304-310 - Fuji Foo, Poh Ju Peng, Robert Kuo-Chung Lin, Wenwey Hseush:
Road Operations Orchestration Enhanced with Long-short-term Memory and Machine Learning (Position Paper). 311-316 - Rolf Krieger, Christian Schorr:
A Reference Model for Product Data Profiling in Retail ERP Systems. 317-324 - Dominik Forner
Machine Learning Approach for National Innovation Performance Data Analysis. 325-331 - Maciej Skorski
On Bayes Factors for Success Rate A/B Testing. 332-339 - Ciro Greco, Andrea Polonioli, Jacopo Tagliabue:
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence. 340-347 - Shady Hamouda, Zurinahni Zainol
Semi-Structured Data Model for Big Data (SS-DMBD). 348-356 - Le Hong Trang
Scaling Big Data Applications in Smart City with Coresets. 357-363 - Yunha Kim, Nooree Min, Hannah Lee, Mi-Lim Ou, Sanghyeon Jeon, Myung-jin Hyun
Development of Spatial Quality Control Method for Temperature Observation Data using Cluster Analysis. 364-368 - Thanasis Chantzios, Paris Koloveas
The Quest for the Appropriate Cyber-threat Intelligence Sharing Platform. 369-376 - Mila Kwiatkowska, Frank A. Pouw:
Data Quality in Secondary Data Analysis: A Case Study of Ecological Data using a Semiotic-based Approach. 377-384 - Bernd Markscheffel, Markus Haberzettl:
Sentiment Analysis of German Emails: A Comparison of Two Approaches. 385-391 - Nadeem Iftikhar
Data Analytics for Smart Manufacturing: A Case Study. 392-399 - Alexander Krause
Trading Memory versus Workload Overhead in Graph Pattern Matching on Multiprocessor Systems. 400-407 - Chettan Kumar, Martin Käppel, Nicolai Schützenmeier
A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters. 408-415 - Gianluca Moro, Roberto Pasolini, Davide Dardari:
LOS/NLOS Wireless Channel Identification based on Data Mining of UWB Signals. 416-425
Special Session on Appliances for Data-Intensive and Time Critical Applications
- Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. 431-436 - Abdallah Aguerzame, Benoit Pelletier, François Waeselynck:
GPU Acceleration of PySpark using RAPIDS AI. 437-442 - Dimitris Poulopoulos, Athina Kalampogia:
Using a Skip-gram Architecture for Model Contextualization in CARS. 443-446 - Hugo Abreu, Luis Meruje Ferreira, Fábio Coelho
Recovery in CloudDBAppliance's High-availability Middleware. 447-453 - Terpsichori Helen Velivassaki
Fast and Streaming Analytics in ATM Cash Management. 454-458 - Petra Ristau:
Implementing Value-at-Risk and Expected Shortfall for Real Time Risk Monitoring. 459-464 - Ricardo Jiménez-Peris, Francisco J. Ballesteros, Ainhoa Azqueta-Alzúaz
Parallel Efficient Data Loading. 465-469 - Marta Patiño
Dynamic Data Streaming for an Appliance. 470-477
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