Opis
This collection showcases the latest advancements in mining complex patterns, stemming from the 8th International Workshop on NFMCP, held alongside the prestigious ECML-PKDD conference in Würzburg. The contributions range from innovative methodologies to practical applications, aiming to advance understanding in the realms of pattern mining and anomaly detection.
The authors explore a robust framework designed specifically for multi-dimensional time series and event logs, addressing the growing complexity of data in various sectors. Their insights are crucial for researchers and practitioners looking to improve their approaches to interpreting large datasets and uncovering hidden anomalies.
With a focus on revised selected papers, this volume not only highlights significant theoretical advancements but also emphasizes the practical implications of those findings. It serves as an invaluable resource for anyone engaged in data analysis and interpretation, regardless of their level of expertise.
The authors explore a robust framework designed specifically for multi-dimensional time series and event logs, addressing the growing complexity of data in various sectors. Their insights are crucial for researchers and practitioners looking to improve their approaches to interpreting large datasets and uncovering hidden anomalies.
With a focus on revised selected papers, this volume not only highlights significant theoretical advancements but also emphasizes the practical implications of those findings. It serves as an invaluable resource for anyone engaged in data analysis and interpretation, regardless of their level of expertise.
Szczegóły książki
Format
Miękka okładka
Strony
168 stron
Język
Angielski
Opublikowany
May 20, 2020
Wydawca
Springer
ISBN-10
3030488624
ISBN-13
9783030488628