Titlebook: Big Data Analytics and Knowledge Discovery; 25th International C Robert Wrembel,Johann Gamper,Ismail Khalil Conference proceedings 2023 The

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咽下

Using Ontologies as?Context for?Data Warehouse Quality Assessmentty is context-dependent and this fact should be considered in its management. This work is a step forward to a general mechanism for assessing Data Quality in Data Warehouse considering data context. In addition to presenting our general approach, in this paper we propose two particular data quality

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Preventing Technical Errors in?Data Lake Analyses with?Type Theoryicle, we present a formal framework based on type theory to prevent technical errors in such compositions of operators. This framework uses restrictions on type definitions to transform technical errors into type errors. We show how to use this framework to prevent errors related to schema or model

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Anomaly Detection in?Financial Transactions Via?Graph-Based Feature Aggregationsnancial institutions. Existing solutions utilize solely transaction attributes as feature representations without the consideration of direct/indirect interactions between users and transactions, leading to limited accuracy. We formulate anomaly detection in financial transactions as the problem of

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SENT

Hypergraph Embedding Based on?Random Walk with?Adjusted Transition Probabilitiesnce into a skip-gram used in natural language processing, a vector representation that captures the graph structure can be obtained. We propose a random walk method with adjustable transition probabilities for hypergraphs. As a result, we argue that it is possible to embed graph features more approp

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