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

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.11.2022

Herausgeber

Weitong Chen + weitere

Verlag

Springer

Seitenzahl

537

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

838 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-22063-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

537

Maße (L/B/H)

23,5/15,5/3 cm

Gewicht

838 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-22063-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Advanced Data Mining and Applications
  • Produktbild: Advanced Data Mining and Applications
  • Finance and Healthcare.-  Application of Supplemental Sampling and Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case Studies.- A Deep Convolutional Autoencoder-based Approach for Parkinson's Disease Diagnosis Through Speech Signals.- Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-influence Ordered-pair Patterns.- Finding Hidden Relationships Between Medical Concepts By Leveraging Metamap And Text Mining Techniques.- Causality Discovery Based on Combined Causes and Multiple Causes in Drug-drug Interaction.- An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph.-  Web and IoT Applications.-  Joint Extraction of Entities and Relations in The News Domain.- Event Detection From Web Data in Chinese Based on Bi-LSTM with Attention.- Sentiment Analysis of Tweets Using Deep Learning.- Cyber Attack Detection in IoT Networks with Small Samples: Implementation and Analysis.- SATB: A Testbed of IoT-based Smart Agriculture Network for Dataset Generation.- An Overview on Reducing Social Networks' Size.- AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education.- Profit Maximization using Social Networks in Two-Phase Setting.-  On-device Application.-  SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas.- Android Malware Detection Based on Stacking and Multi-feature Fusion.- In uential Billboard Slot Selection using Pruned Submodularity Graph.- Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances.- The Coherence and Divergence Between the Objective and Subjective Measurements of Street Perceptions for Shanghai.-  Other Applications.-  A Comparative Study of Question Answering over Knowledge Bases.- A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography.- Popularity Forecasting for Emerging Research Topics at its Early Stage of Evolution.- Positive Unlabeled Learning by Sample Selection and Prototype Refinement.- Handling missing data with Markov boundary.-  Pattern Mining.-  An Efficient Method for outlying Aspect Mining based on Genetic Algorithm.- Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data.- TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization.- Mining Maximal Sub-prevalent Co-location Patterns Based on k-hop.- An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns.- Mining E-closed High Utility Co-location Patterns From Spatial Data.-  Graph Mining.-  Implementation and Analysis of Centroid Displacement based k-Nearest Neighbors.- EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain.- Deterministic Graph-Walking Program Mining.- A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction.- Multi-view Gated Graph Convolutional Network for Aspect-Level Sentiment Classification.- Decentralized Graph Processing for Reachability Queries.- Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.