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Database and expert systems applications : 31st International Conference, DEXA 2020, Bratislava, Czech Republic, September 14-17, 2020, Proceedings. Part II
- Author / Creator
- Conferences
- Database and Expert Systems Applications Conference (31st : 2020 : Online)
- Available as
- Online
- Summary
-
The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems Applications, DEXA 2020, which will be held online in September 2020. ...
The double volumes LNCS 12391-12392 constitutes the papers of the 31st International Conference on Database and Expert Systems Applications, DEXA 2020, which will be held online in September 2020. The 38 full papers presented together with 20 short papers plus 1 keynote papers in these volumes were carefully reviewed and selected from a total of 190 submissions.
Details
- Creator
- Sven Hartmann, Josef Küng, Gabriele Kotsis, A Min Tjoa, Ismail Khalil (eds.)
- Format
- Books
- Language
- English
- Contributors
- Publication
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- Cham : Springer, 2020
- Series
- Physical Details
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- 1 online resource (434 pages)
- data file
- ISBNs
- 9783030590512, 3030590518, 9783030590505, 9783030590505
- OCLC
- on1196260919
- Internaitonal conference proceedings.
- "This year, DEXA was held as a virtual conference during September 14-17, 2020, instead of as it was originally planned to be held in Bratislava, Slovakia."-- Preface.
- 3 Preliminaries
- Includes author index.
- Intro -- Preface -- Organization -- Abstracts of Keynote Talks -- Knowledge Graph for Drug Discovery -- Incremental Learning and Learning with Drift -- From Sensors to Dempster-Shafer Theory and Back: The Axiom of Ambiguous Sensor Correctness and Its Applications -- Knowledge Availability and Information Literacies -- Explainable Fact Checking for Statistical and Property Claims -- "How Many Apples?" or the Age of Science-Making Machines (Panel) -- Contents -- Part II -- Contents -- Part I -- Authenticity, Privacy, Security and Trust
- A Framework for Factory-Trained Virtual Sensor Models Based on Censored Production Data -- 1 Introduction -- 2 Related Work -- 2.1 Model Architectures for Censored Data -- 2.2 Censored Data in Industrial Applications -- 3 Methods -- 3.1 Framework -- 3.2 Correction Methods -- 4 Experiments and Discussion -- 4.1 Data and Simulated Censoring -- 4.2 Model -- 4.3 Results -- 4.4 Further Discussion -- 5 Conclusion and Future Work -- References -- Blockchain-Based Access Control for IoT in Smart Home Systems -- 1 Introduction -- 2 Related Work -- 3 BAC: Blockchain-Based Access Control Model
- 3.1 System Setting and Roles -- 3.2 Agent-Based Policy for the Blockchain Management -- 3.3 System Algorithm Design for Smart Home -- 4 Validation of BAC in Smart Home Systems -- 4.1 System Implementation Process -- 4.2 Performance Evaluation -- 5 Conclusion -- References -- Online Attacks on Picture Owner Privacy -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Attack Description -- 5 Offline Training -- 5.1 Data Crawling from User Context -- 5.2 Data Pre-processing -- 5.3 Features Selection and Extraction -- 5.4 Retrofitting Words/Emojis Vectors
- 6 Online Attack and Gender Obfuscation -- 6.1 Pre-processing and N-Grams -- 6.2 Word/Emoji Similarity -- 6.3 Gender Classification -- 6.4 Comment/Picture Filtering -- 7 Experiments -- 8 Discussion -- 9 Conclusion -- References -- Cloud Databases and Workflows -- Distributed Caching of Scientific Workflows in Multisite Cloud -- 1 Introduction -- 2 Use Case in Plant Phenotyping -- 3 Multisite Cloud Workflow System Architecture -- 4 Multisite Cache-Aware Workflow Execution -- 4.1 Distributed Workflow Execution Overview -- 4.2 Cache Data Selection -- 4.3 Cache Site Selection
- 4.4 Execution Site Selection -- 4.5 Global Decision -- 5 Experimental Evaluation -- 5.1 Experimental Setup -- 5.2 Experiments -- 5.3 Concluding Remarks -- 6 Conclusion -- References -- Challenges in Resource Provisioning for the Execution of Data Wrangling Workflows on the Cloud: A Case Study -- 1 Introduction -- 2 Related Work -- 3 A Traffic DW Workflow -- 4 Methodology -- 5 Simulation, Results and Discussion -- 6 Conclusions and Further Work -- References -- Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud -- 1 Introduction -- 2 Related Work