Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

Front Matter ....Pages i-xiii
Front Matter ....Pages 1-1
 Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019  (Tatsawan Timakum, Soobin Lee, Il-Yeol Song, Min Song)....Pages 3-13
Front Matter ....Pages 15-15
 DHE\(^{2}\): Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications  (Oana Stroie, Elena-Simona Apostol, Ciprian-Octavian Truică)....Pages 17-27
 Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values  (Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia)....Pages 28-37
 Expected vs. Unexpected: Selecting Right Measures of Interestingness  (Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim)....Pages 38-47
 SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildings  (Ladjel Bellatreche, Felix Garcia, Don Nguyen Pham, Pedro Quintero Jiménez)....Pages 48-59
 Reverse Engineering Approach for NoSQL Databases  (Fatma Abdelhedi, Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh)....Pages 60-69
Front Matter ....Pages 71-71
 HANDLE - A Generic Metadata Model for Data Lakes  (Rebecca Eichler, Corinna Giebler, Christoph Gröger, Holger Schwarz, Bernhard Mitschang)....Pages 73-88
Front Matter ....Pages 89-89
 A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases  (Amel Hidouri, Said Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane)....Pages 91-106
 High-Utility Interval-Based Sequences  (S. Mohammad Mirbagheri, Howard J. Hamilton)....Pages 107-121
 Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification  (Muhammad Marwan Muhammad Fuad)....Pages 122-130
 Framework to Optimize Data Processing Pipelines Using Performance Metrics  (Syed Muhammad Fawad Ali, Robert Wrembel)....Pages 131-140
 A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries  (Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki)....Pages 141-156
 Data Engineering for Data Science: Two Sides of the Same Coin  (Oscar Romero, Robert Wrembel)....Pages 157-166
 Mining Attribute Evolution Rules in Dynamic Attributed Graphs  (Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes)....Pages 167-182
 Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology  (Yassir Alharbi, Frans Coenen, Daniel Arribas-Bel)....Pages 183-196
 Mining Frequent Seasonal Gradual Patterns  (Jerry Lonlac, Arnaud Doniec, Marin Lujak, Stephane Lecoeuche)....Pages 197-207
 Derivative, Regression and Time Series Analysis in SARS-CoV-2  (Pedro Furtado)....Pages 208-220
Front Matter ....Pages 221-221
 Building a Competitive Associative Classifier  (Nitakshi Sood, Osmar Zaiane)....Pages 223-234
 Contrastive Explanations for a Deep Learning Model on Time-Series Data  (Jokin Labaien, Ekhi Zugasti, Xabier De Carlos)....Pages 235-244
 Cyberbullying Detection in Social Networks Using Deep Learning Based Models  (Maral Dadvar, Kai Eckert)....Pages 245-255
 Predicting Customer Churn for Insurance Data  (Michael Scriney, Dongyun Nie, Mark Roantree)....Pages 256-265
Front Matter ....Pages 267-267
 Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization  (Sikder Tahsin Al-Amin, Carlos Ordonez)....Pages 269-284
 Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US  (Ivan Slobozhan, Peter Ormosi, Rajesh Sharma)....Pages 285-300
 FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences  (S. Mohammad Mirbagheri, Howard J. Hamilton)....Pages 301-315
 Multivariate Time Series Classification: A Relational Way  (Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot)....Pages 316-330
Front Matter ....Pages 331-331
 Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion  (Martha Tatusch, Gerhard Klassen, Stefan Conrad)....Pages 333-347
 Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic  (Michael Mayr, Johannes Himmelbauer)....Pages 348-363
 Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses  (Manuel Fritz, Dennis Tschechlov, Holger Schwarz)....Pages 364-379
 Parallel K-Prototypes Clustering with High Efficiency and Accuracy  (Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi)....Pages 380-395
 Self-Organizing Map for Multi-view Text Clustering  (Maha Fraj, Mohamed Aymen Ben Hajkacem, Nadia Essoussi)....Pages 396-408
Back Matter ....Pages 409-410