Intro
Preface
Preface to ADBIS 2021 International Workshops and Doctoral Consortium
Organization
Contents
ADBIS 2021 Short Papers
Learned What-If Cost Models for Autonomous Clustering
1 Introduction
2 The Hyrise Database System
3 What-If Latency Estimation for Autonomous Clustering
3.1 Clustering Model
3.2 Latency Estimation
3.3 Obtaining Data for Training
3.4 Limitations
4 Results and Discussion
4.1 Clustering Simulation
4.2 Learned Cost Model
5 Related Work
6 Conclusion and Future Work
References

Cost-Sensitive Predictive Business Process Monitoring
1 Introduction
2 Basic Terminology and Problem Statement
2.1 Process Mining and Predictive Business Process Monitoring
2.2 Formal Problem Definition
3 Concept and Solution
3.1 General Idea
3.2 Calculating Class Weights
3.3 Cost-Sensitive Transformation of Algorithms
4 Related Work
5 Implementation and Evaluation
5.1 Dataset Description and Experimental Setup
5.2 Overall Results and Further Analysis
6 Conclusion and Future Work
References

A Hybrid Data Model and Flexible Indexing for Interactive Exploration of Large-Scale Bio-science Data
1 Introduction
2 Motivating Workflow
3 Related Work
4 Architecture
4.1 Flexible Indexes
4.2 Interval Trees
5 Experiments
5.1 Query Evaluation
6 Conclusion
References
Relational Conditional Set Operations
1 Introduction
2 Case Study
3 Related Work
4 Proposed Relational Conditional Operators
4.1 Formal Definitions
4.2 Proposed Algorithms
5 Experiments
5.1 Semantic Validation
5.2 Scalability
6 Conclusion
References

GASP: Graph-Based Approximate Sequential Pattern Mining for Electronic Health Records
1 Introduction
2 Preliminaries
2.1 Notation
2.2 Exact Sequential Pattern Mining
2.3 Approximate Sequential Pattern Mining
3 GASP
3.1 Subsequence Generation
3.2 Graph Construction
3.3 Random Walk
3.4 Algorithm Complexity
4 Experiment Setup
4.1 Dataset
4.2 Experimental Design
4.3 Baseline Methods
4.4 Evaluation Metrics
5 Experimental Results
5.1 Pattern Recoverability
5.2 Pattern Usefulness
6 Conclusions
References

Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing
1 Introduction
2 Semi-synthetic Data Generation and Testbed API
2.1 Testbed Architecture and Functionality
2.2 Traffic Data Simulation and Calibration
2.3 Data for Energy Consumption Estimation
2.4 Charging and Waiting Times at Charging Stations
3 Testbed Implementation
4 Experiments and Results
5 Conclusions and Future Work
References
Looking for COVID-19 Misinformation in Multilingual Social Media Texts
1 Introduction
2 Related Work
3 The CMTA Method
3.1 Experiment