Titlebook: New Trends in Database and Information Systems; ADBIS 2021 Short Pap Ladjel Bellatreche,Marlon Dumas,Olaf Hartig Conference proceedings 202

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persistence

得體

GASP: Graph-Based Approximate Sequential Pattern Mining for Electronic Health Recordsrs frequent patterns for multi-item event sequences. Our approach compresses the sequential information into a concise graph structure which has computational benefits. The empirical results on two healthcare datasets suggest that GASP outperforms existing approximate models by improving recoverability and extracts better predictive patterns.

毀壞

Maximizer

Interpreting Decision-Making Process for?Multivariate Time Series Classificationuse state-of-the-art timeXplain framework to interpret the decision making process of the univariate classifiers on the multivariate time series data. With a careful choice of interpretability parameters, we demonstrate that it is possible to obtain explainability for such time series data.

GRIPE

Learned What-If Cost Models for?Autonomous Clustering previously trained cost models. The model accurately estimates the latencies of TPC-H workloads (scale factor 1) for different clusterings with a relative error of at most 5%, thereby enabling the determination of optimal clustering configurations.

CREST

Relational Conditional Set Operationsbset, intersection, and difference with customized predicates. For example, they are potentially useful in applications of product sales with units and prices, job promotion, and internship. We validate our proposals by studying the first of these applications.

起草

Looking for COVID-19 Misinformation in?Multilingual Social Media Textsormation spread across different languages. We performed a comparative analysis of CMTA with eight monolingual models used for detecting misinformation. The comparison shows that CMTA has surpassed various monolingual models and suggests that it can be used as a general method for detecting misinformation in multilingual micro-texts.

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別炫耀