Big data analytics and knowledge discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings / Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors.

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Bibliografiska uppgifter
Institutionell upphovsman:	DaWaK (Conference) Penang, Malaysia)
Övriga upphovsmän:	Wrembel, Robert (Utgivare, redaktör, sammanställare), Gamper, Johann (Utgivare, redaktör, sammanställare), Kotsis, Gabriele, 1967- (Utgivare, redaktör, sammanställare), Tjoa, A Min (Utgivare, redaktör, sammanställare), Khalil, Ismail, 1960- (Utgivare, redaktör, sammanställare)
Materialtyp:	E-bok
Språk:	English
Publicerad:	Cham, Switzerland : Springer, 2023.
Serie:	Lecture notes in computer science ; 14148.
Ämnen:	Big data > Congresses. Data mining > Congresses. Big data. Data mining. proceedings (reports) Conference papers and proceedings. Actes de congrès.
Länkar:	Click for online access

Innehållsförteckning:

Intro
Preface
Organization
From an Interpretable Predictive Model to a Model Agnostic Explanation (Abstract of Keynote Talk)
Contents
Data Quality
Using Ontologies as Context for Data Warehouse Quality Assessment
1 Introduction
2 Related Work
3 Preliminaries
3.1 Running Example
3.2 Data Warehouse Formal Specification
3.3 Context Formal Specification
4 Data Warehouse to Ontology Mapping
5 Context-Based Data Quality Rules
6 Experimentation
6.1 Implementation
6.2 Validation
7 Conclusions and Future Work
References
Preventing Technical Errors in Data Lake Analyses with Type Theory
1 Introduction
2 Related Works
3 Type-Theoretical Framework
4 Conclusion
References
EXOS: Explaining Outliers in Data Streams
1 Introduction
2 Related Work
3 Preliminaries
4 The Proposed Algorithm: EXOS
4.1 Estimator
4.2 Temporal Neighbor Clustering
4.3 Outlying Attribute Generators
5 Evaluation
5.1 Experimental Setup
5.2 Results and Analysis
6 Conclusions
References
Motif Alignment for Time Series Data Augmentation
1 Introduction
2 Preliminaries
2.1 Matrix Profile
2.2 Pan-Matrix Profile
2.3 DTW Alignment for Time Series Data Augmentation
3 Proposed Method
3.1 Motif Mapping
3.2 Time Series Augmentation
4 Experimental Evaluation
4.1 Setup
4.2 Aligning Time Series Using MotifDTW
4.3 Performance Gain
5 Conclusion
References
State-Transition-Aware Anomaly Detection Under Concept Drifts
1 Introduction
2 Related Works
3 Problem Definition
3.1 Terminology
3.2 Problem Statement
4 State-Transition-Aware Anomaly Detection
4.1 Reconstruction and Latent Representation Learning
4.2 Drift Detection in the Latent Space
4.3 State Transition Model
5 Experiment
5.1 Experiment Setup
5.2 Performance
6 Conclusion
References
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations
1 Introduction
2 Related Work
2.1 Graph Embedding
2.2 Anomaly Detection
3 Problem Formalization
4 Proposed Method
4.1 PFA: Proximal Feature Aggregation
4.2 AFA: Anomaly Feature Aggregation
5 Experiment
5.1 Experimental Setup
5.2 Effectiveness Evaluation
5.3 Scalability Evaluation
6 Conclusion
References
The Synergies of Context and Data Aging in Recommendations
1 Introduction
2 ALBA: Adding Aging to LookBack Apriori
3 Context Modeling
4 Evaluation
4.1 Contexts
4.2 Methodology
4.3 Fitbit Validation
4.4 Auditel Validation
5 Conclusions and Future Work
References
Advanced Analytics and Pattern Discovery
Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities
1 Introduction
2 Related Work
3 Preliminaries
3.1 Notation
3.2 Hypergraph Projection
3.3 Random Walk and Stationary Distribution
3.4 Skip-Gram

Big data analytics and knowledge discovery : 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings / Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors.

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