Program

Please click on the sessions in the program table to see session details.

Key aspects of the program

• LIVE events: Opening, Keynotes, Closing, Virtual Social event, Doctoral Consortium
• Papers of regular sessions are available throughout the conference as videos for On-Demand watching
• On-Demand watching - follow the program at your own pace!
• Times in the program are given as conference venue times (Tallinn) EEST (GMT+3)
• Daily Q&A online session is the time when authors of papers scheduled for presentation on that day are expected to be online and answer the question. In addition to the allocated time-slot, authors/Presenters are also expected to answer questions throughout the conference on a daily basis, at their own pace. 
• The program for Baltic DB&IS 2020 will be delivered on the Engagez platform. Please refer to the conference bulletin regarding the platform and its usage. The venue opens 16 June 2020.

Program Outline

Session 2: Architecture and Quality

• Justas Kazanavičius and Dalius Ma?eika, Analysis of legacy monolithic software decomposition into microservices
• Vineta Arnicane, Juris Borzovs and Anete Nesaule, Do We Really Know How to Measure Software Quality
• Uljana Reinsalu, Tarmo Robal and Mairo Leier, Floor Selection for Automated Travel with Smart Elevator
• Darja Solodovnikova and Laila Niedrite, Change Discovery in Heterogeneous Data Sources of a Data Warehouse

Session 3: Artificial Intelligence in IS

• Viktorija Leonova, Review of Non-English Corpora Annotated for Emotion Classification in Text
• Margarita Spichakova and Hele-Mai Haav, Using Machine Learning for Automated Assessment of Misclassification of Goods for Fraud Detection
• Henri Ots, Innar Liiv and Diana Tur, Mobile Phone Usage Data for Credit Scoring
• Ingus Pretkalniņš, Artūrs Sproģis and Guntis Bārzdiņš, Text Extraction from Scrolling News Tickers
• Aleksei Samarin, Valentin Malykh and Sergey Muravyov, Specialized image descriptors for signboard photographs classification
• Dina Satybaldina, Gulzia Kalymova and Natalya Glazyrina, APPLICATION DEVELOPMENT FOR HAND GESTURES RECOGNITION WITH USING THE DEPTH CAMERA
• René Pihlak and Andri Riid, Simultaneous Road Edge and Road Surface Markings Detection Using Convolutional Neural Networks
• Zigmunds Beļskis, Marita Zirne and Mārcis Pinnis, Features and Methods for Automatic Posting Account Classification

Session 5: Data and Knowledge Engineering

• Thouraya Sakouhi, Jamal Malki and Jalel Akaichi, A Mobility Data Model for Web-Based Tourists Tracking
• Diana Kalibatiene and Jolanta Miliauskaitė, Complexity Issues in Data-Driven Fuzzy Inference Systems: Systematic Literature Review
• Edgars Celms, Janis Barzdins, Audris Kalnins, Arturs Sprogis, Mikus Grasmanis, Sergejs Rikacovs and Paulis Barzdins, Towards DSL for DL Lifecycle Data Management
• Janis Zemnickis, Laila Niedrite and Natalija Kozmina, A Little Bird Told Me: Discovering KPIs from Twitter Data
• Uldis Zandbergs and Jānis Grundspeņķis, Development of Ontology Based Competence Management Process Model for Non-Formal Education Service Providers
• Riina Maigre, Hele-Mai Haav, Rauni Lillemets, Kalev Julge and Gaspar Anton, A Method of Comparative Spatial Analysis of a Digitized (LiDAR) Point Cloud and the Corresponding GIS Database
• Erki Eessaar, Automating Detection of Occurrences of PostgreSQL Database Design Problems

Session 6: Enterprise and IS Engineering

• Artur Wojciechowski and Robert Wrembel, On Case-based Reasoning for ETL Process Repairs: Making Cases Fine-grained
• Judith Awiti and Robert Wrembel, Rule Discovery for (Semi-)automatic Repairs of ETL Processes
• Janis Bicevskis and Girts Karnitis, Testing of Execution of Concurrent Processes
• Vija Vagale, Laila Niedrite and Svetlana Ignatjeva, The Use of the Recommended Learning Path in the Personalized Adaptive E-learning System

Session 8: IS Security

• Justinas Rastenis, Simona Ramanauskaite, Justinas Janulevicius and Antanas Cenys, Information Security Training Impact to Recognition of Phishing Attack: Case Study of Vilnius Gediminas Technical University
• Paulius Vaitkevičius and Virginijus Marcinkevičius, Composition of Ensembles of Recurrent Neural Networks for Phishing Websites Detection
• Mubashar Iqbal and Raimundas Matulevičius, Managing Security Risks in Post-Trade Matching and Confirmation using CorDapp

Doctoral Consortium