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 (eds.).

Intro -- Preface -- Organization -- Contents -- Position Paper -- Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019 -- 1 Introduction -- 2 Experiment Design -- 2.1 Data Collection -- 2.2 Analysis Methods -- 3 Results -- 3.1 Co-words Map Analysis -- 3.2 Topic Analysis -- 3.3 Topic Trends Analysis -- 3.4 DaWaK Research Paper Metrics -- 4 Discussion and Conclusion -- References -- Applications -- DHE2: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology

3.1 The Proposed Hybrid Evolutionary Algorithms -- 3.2 Algorithm. Avoiding Local Optimum for Clustering -- 4 Distributed Hybrid Evolution Engine Architecture -- 5 Result Analysis -- 6 Conclusions and Future Work -- References -- Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values -- 1 Introduction -- 2 Grand Reports -- 3 Association Rule Mining (ARM) -- 4 The Proposed Tool -- 4.1 Development and Functionalities -- 4.2 Comparison and Advantages -- 5 Conclusion -- References -- Expected vs. Unexpected: Selecting Right Measures of Interestingness -- 1 Introduction

2 Expectedness and Unexpectedness in ARM -- 2.1 Objective Measures of Interestingness for Expected Association Rules -- 2.2 Subjective Measures of Interestingness for Unexpected Association Rules -- 2.3 Semantic Measures of Interestingness -- 3 Properties for Selecting Objective Measures of Interestingness -- 3.1 Towards Selecting Optimal Measures of Interestingness -- 4 Conclusion -- References -- SONDER: A Data-Driven Methodology for Designing Net-Zero Energypg Public Buildings -- 1 Introduction -- 2 SONDER Methodology for Designing nZeB Solutions -- 3 SONDER and ML as a Service for nZEBs

4 Conclusion -- References -- Reverse Engineering Approach for NoSQL Databases -- 1 Introduction -- 2 Related Work -- 3 Reverse Engineering Process -- 3.1 Source: Physical Model -- 3.2 Target: Conceptual Model -- 3.3 Transformation Algorithms -- 4 Experiments -- 4.1 Implantation of the ToConceptualModel Process -- 4.2 Comparison -- 5 Conclusion and Future Work -- References -- Big Data/Data Lake -- handle -- A Generic Metadata Model for Data Lakes -- 1 Introduction -- 2 Related Work: Discussion of Existent Metadata Models -- 2.1 Assessing the Basis of Existent Models

2.2 Metadata Management Use Case for Model Evaluation -- 2.3 Assessing the Generic Extent of the Existent Models -- 3 Requirements for a Generic Metadata Model -- 4 handle -- A Generic Metadata Model -- 5 handle Assessment -- 5.1 handle Demonstration on Access-Use-Case -- 5.2 Prototypical Implementation -- 5.3 Fulfillment of Requirements -- 5.4 Comparison to Existent Models -- 6 Conclusion -- References -- Data Mining -- A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases -- 1 Introduction -- 2 Preliminaries -- 2.1 High Utility Itemset Mining

2.2 Propositional Logic and SAT Problem

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.