DaWaK B

31 papers

Year	Title / Authors
2020	A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases. Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane
2020	A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries. Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki
2020	Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019. Tatsawan Timakum, Soobin Lee, Il-Yeol Song, Min Song
2020	Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion. Martha Tatusch, Gerhard Klassen, Stefan Conrad
2020	Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings Min Song, Il-Yeol Song, Gabriele Kotsis, A Min Tjoa, Ismail Khalil
2020	Building a Competitive Associative Classifier. Nitakshi Sood, Osmar R. Zaïane
2020	Contrastive Explanations for a Deep Learning Model on Time-Series Data. Jokin Labaien, Ekhi Zugasti, Xabier De Carlos
2020	Cyberbullying Detection in Social Networks Using Deep Learning Based Models. Maral Dadvar, Kai Eckert
2020	DHE Oana Stroie, Elena Simona Apostol, Ciprian-Octavian Truica
2020	Data Engineering for Data Science: Two Sides of the Same Coin. Oscar Romero, Robert Wrembel
2020	Derivative, Regression and Time Series Analysis in SARS-CoV-2. Pedro Furtado
2020	Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. Michael Mayr, Johannes Himmelbauer
2020	Expected vs. Unexpected: Selecting Right Measures of Interestingness. Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim
2020	Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification. Muhammad Marwan Muhammad Fuad
2020	FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. S. Mohammad Mirbagheri, Howard J. Hamilton
2020	Framework to Optimize Data Processing Pipelines Using Performance Metrics. Syed Muhammad Fawad Ali, Robert Wrembel
2020	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
2020	HANDLE - A Generic Metadata Model for Data Lakes. Rebecca Eichler, Corinna Giebler, Christoph Gröger, Holger Schwarz, Bernhard Mitschang
2020	High-Utility Interval-Based Sequences. S. Mohammad Mirbagheri, Howard J. Hamilton
2020	Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses. Manuel Fritz, Dennis Tschechlov, Holger Schwarz
2020	Mining Attribute Evolution Rules in Dynamic Attributed Graphs. Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes
2020	Mining Frequent Seasonal Gradual Patterns. Jerry Lonlac, Arnaud Doniec, Marin Lujak, Stéphane Lecoeuche
2020	Multivariate Time Series Classification: A Relational Way. Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot
2020	Parallel K-Prototypes Clustering with High Efficiency and Accuracy. Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi
2020	Predicting Customer Churn for Insurance Data. Michael Scriney, Dongyun Nie, Mark Roantree
2020	Reverse Engineering Approach for NoSQL Databases. Fatma Abdelhédi, Amal Ait Brahim, Rabah Tighilt Ferhat, Gilles Zurfluh
2020	SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildings. Ladjel Bellatreche, Felix Garcia, Don Nguyen Pham, Pedro Quintero Jiménez
2020	Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization. Sikder Tahsin Al-Amin, Carlos Ordonez
2020	Self-Organizing Map for Multi-view Text Clustering. Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi
2020	Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. Yassir Alharbi, Frans Coenen, Daniel Arribas-Bel
2020	Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US. Ivan Slobozhan, Peter Ormosi, Rajesh Sharma