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Advanced Data Mining and Applications 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings, Part II

Aus der Reihe Lecture Notes in Artificial Intelligence

Fr. 112.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.11.2022

Herausgeber

Weitong Chen + weitere

Verlag

Springer

Seitenzahl

487

Maße (L/B/H)

23.5/15.5/2.8 cm

Gewicht

768 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-22136-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

487

Maße (L/B/H)

23.5/15.5/2.8 cm

Gewicht

768 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-22136-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Data Mining and Applications
  • Produktbild: Advanced Data Mining and Applications
  • Text Mining.-  Towards Idea Mining: Problem-Solution Phrases Extraction From Text.- Spam Email Categorization with NLP and Using Federated Deep Learning.- SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings.- DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data.- ESTD: Empathy Style Transformer with Discriminative Mechanism.- Detection Method of User Behavior Transition on Computer.-  Image, Multimedia and Time Series Data Mining.-  Ensemble Image Super-resolution CNNs for Small Data and Diverse Compressive Models.- Optimizing MobileNetV2 Architecture Using Split Input and Layer Replications for 3D Face Recognition Task.- GANs for Automatic Generation of Data Plots.- An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data.- Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning.- Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams.-  Classification, Clustering and Recommendation.-  Signal Classification using Smooth Coecients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal.- On Reducing the Bias of Random Forest.- A collaborative filtering recommendation method integrating user profiles.- A Quality Metric for K-Means Clustering Based on Centroid Locations.- Clustering Method for Touristic Photographic Spots Recommendation.- Personalized Federated Learning with Robust Clustering against Model Poisoning.- A Data-Driven Framework for Driving Style Classification.- Density Estimation in High-Dimensional Spaces: a Multivariate Histogram Approach.-  Multi-objective, Optimization, Augmentation, and  Database.-  Correcting Temporal Overlaps in Process Models Discovered from OLTP Databases.- WDA: A Domain-Aware Database Schema Analysis for improving OBDA-based Event Log Extractions.- A Cricket-based Selection Hyper-heuristic for Many-objective Optimization Problems.- Multi-Objective Optimization Based Feature Selection Using Correlation.- SAME: Sampling Attack in Multiplex Network Embedding.- Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining.- Using the Strongest Adversarial Example to Alleviate Robust Overfitting.- Deduplication Over Heterogeneous Attribute Types (D-HAT).-  Others.-  Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis.- Location Data Anonymization Retaining Data Mining Utilization.- A Distributed SAT-based Framework for Closed Frequent Itemset Mining.- Index Advisor via DQN with Invalid Action Mask in Tree-Structured Action Space.- A Hybrid Model for Demand Forecasting Based on the Combination of Statistical and Machine Learning Methods.- A Boosting Algorithm for Training from Only Unlabeled Data.- A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models.