4 citations · 4 across the 4 of their papers we have counts for
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cs.DB2021
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation -- Extended Version Including Additional Evaluation and Proofs
Lars Kegel, Claudio Hartmann, Maik Thiele +1
Processing and analyzing time series data\-sets have become a central issue in many domains requiring data management systems to support time series as a native data type. A crucia…
cs.DB2020★ 4 cited
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data
Lucas Woltmann, Claudio Hartmann, Dirk Habich +1
Cardinality estimation is a fundamental task in database query processing and optimization. As shown in recent papers, machine learning (ML)-based approaches can deliver more accur…