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New Frontiers in Mining Complex Patterns: Lecture Notes in Computer Science, cartea 11948

Editat de Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ras
en Limba Engleză Paperback – 14 mai 2020
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.
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Specificații

ISBN-13: 9783030488604
ISBN-10: 3030488608
Pagini: 168
Ilustrații: XII, 155 p. 111 illus., 33 illus. in color.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.