Sebastian Herbst

Chair for Computer Science 6 (Data Management)

Thinking small: next-generation sensor networks close the size gap in vertebrate biologging (2020) Ripperger S, Carter G, Page R, Duda N, Kölpin A, Weigel R, Hartmann M, et al. Journal article, Original article BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking (2018) Duda N, Nowak T, Hartmann M, Schadhauser M, Cassens B, Wägemann P, Nabeel M, et al. Journal article, Original article Query-Driven Data Profiling with OCEANProfile (2018) Wahl AM, Sauerhammer C, Schwab P, Herbst S, Lenz R Conference contribution, Conference Contribution Crossing an OCEAN of queries: Analyzing SQL query logs with OCEANLog (2018) Wahl AM, Endler G, Schwab P, Herbst S, Rith J, Lenz R Conference contribution, Conference Contribution A graph-based framework for analyzing SQL query logs (2018) Wahl AM, Endler G, Schwab P, Rith J, Herbst S, Lenz R Conference contribution, Conference Contribution Anfrage-getriebener Wissenstransfer zur Unterstützung von Datenanalysten (2017) Wahl AM, Endler G, Schwab P, Herbst S, Lenz R Conference contribution, Conference Contribution We Can Query More than We Can Tell: Facilitating Collaboration Through Query-Driven Knowledge-Sharing (2017) Wahl AM, Endler G, Schwab P, Herbst S, Lenz R Conference contribution, Conference Contribution Query-Driven Knowledge-Sharing for Data Integration and Collaborative Data Science (2017) Wahl AM, Endler G, Schwab P, Herbst S, Lenz R Conference contribution, Conference Contribution A Flexible, Adaptive System for Data-Stream Processing in Energy-Constrained Ad-hoc Networks (2016) Eibel C, Herbst S, Cassens B, Hönig T, Wägemann P, Janker H, Kapitza R, et al. Other publication type, Technischer Bericht An Algebra for Pattern Matching, Time-aware Aggregates and Partitions on Relational Data Streams (2015) Herbst S, Pollner TN, Tenschert J, Lauterwald F, Endler G, Meyer-Wegener K Conference contribution, Original article