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

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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