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ORCID22nd DaWaK 2020: Bratislava, Slovakia
- Min Song, Il-Yeol Song, Gabriele Kotsis
, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings. Lecture Notes in Computer Science 12393, Springer 2020, ISBN 978-3-030-59064-2
Position Paper
- Tatsawan Timakum, Soobin Lee, Il-Yeol Song, Min Song:
Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019. 3-13
Applications
- Oana Stroie, Elena Simona Apostol, Ciprian-Octavian Truica:
DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications. 17-27 - Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia:
Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values. 28-37 - Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim:
Expected vs. Unexpected: Selecting Right Measures of Interestingness. 38-47 - Ladjel Bellatreche, Felix Garcia, Don Nguyen Pham, Pedro Quintero Jiménez:
SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildings. 48-59 - Fatma Abdelhédi, Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh:
Reverse Engineering Approach for NoSQL Databases. 60-69
Big Data/Data Lake
- Rebecca Eichler, Corinna Giebler, Christoph Gröger, Holger Schwarz, Bernhard Mitschang:
HANDLE - A Generic Metadata Model for Data Lakes. 73-88
Data Mining
- Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane:
A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. 91-106 - S. Mohammad Mirbagheri, Howard J. Hamilton:
High-Utility Interval-Based Sequences. 107-121 - Muhammad Marwan Muhammad Fuad:
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification. 122-130 - Syed Muhammad Fawad Ali, Robert Wrembel:
Framework to Optimize Data Processing Pipelines Using Performance Metrics. 131-140 - Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki:
A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries. 141-156 - Oscar Romero, Robert Wrembel:
Data Engineering for Data Science: Two Sides of the Same Coin. 157-166 - Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes:
Mining Attribute Evolution Rules in Dynamic Attributed Graphs. 167-182 - Yassir Alharbi, Frans Coenen, Daniel Arribas-Bel:
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. 183-196 - Jerry Lonlac, Arnaud Doniec, Marin Lujak, Stéphane Lecoeuche:
Mining Frequent Seasonal Gradual Patterns. 197-207 - Pedro Furtado:
Derivative, Regression and Time Series Analysis in SARS-CoV-2. 208-220
Machine Learning and Deep Learning
- Nitakshi Sood, Osmar R. Zaïane:
Building a Competitive Associative Classifier. 223-234 - Jokin Labaien, Ekhi Zugasti, Xabier De Carlos:
Contrastive Explanations for a Deep Learning Model on Time-Series Data. 235-244 - Maral Dadvar, Kai Eckert:
Cyberbullying Detection in Social Networks Using Deep Learning Based Models. 245-255 - Michael Scriney, Dongyun Nie, Mark Roantree:
Predicting Customer Churn for Insurance Data. 256-265
Supervised Learning
- Sikder Tahsin Al-Amin, Carlos Ordonez:
Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization. 269-284 - Ivan Slobozhan, Peter Ormosi, Rajesh Sharma:
Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US. 285-300 - S. Mohammad Mirbagheri, Howard J. Hamilton:
FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. 301-315 - Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. 316-330
Unsupervised Learning
- Martha Tatusch, Gerhard Klassen, Stefan Conrad:
Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion. 333-347 - Michael Mayr, Johannes Himmelbauer:
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. 348-363 - Manuel Fritz, Dennis Tschechlov, Holger Schwarz:
Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses. 364-379 - Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Parallel K-Prototypes Clustering with High Efficiency and Accuracy. 380-395 - Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Self-Organizing Map for Multi-view Text Clustering. 396-408
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