New Frontiers in Mining Complex Patterns -

New Frontiers in Mining Complex Patterns

8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers
Buch | Softcover
XII, 155 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-48860-4 (ISBN)
53,49 inkl. MwSt

This book constitutes the refereed post-conference proceedings of the 8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with ECML-PKDD 2019 in Würzburg, Germany, in September 2019.
The workshop focused on the latest developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams.

A Framework for Pattern Mining and Anomaly Detection in Multi-Dimensional Time Series and Event Logs.- A Heuristic Approach for Sensitive Pattern Hiding with Improved Data Quality.- Interpretable Survival Gradient Boosting Models with Bagged Trees Base Learners.- Neural Hybrid Recommender: Recommendation Needs Collaboration.- Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods.- Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams.- Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning.- Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda.- Hough Transform as a Tool for the Classification of Vehicle Speed Changes in on-road Audio Recordings.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XII, 155 p. 111 illus., 33 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 267 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Clustering • Computer Hardware • Computer Networks • Data Mining • data stream mining • Education • Engineering • Ensemble methods • internetinternet • learning • Linguistics • machine learning • machine learning approaches • multi-task learning • Signal Processing • supervised learning
ISBN-10 3-030-48860-8 / 3030488608
ISBN-13 978-3-030-48860-4 / 9783030488604
Zustand Neuware
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