Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers /
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Lecture Notes in Artificial Intelligence ;
10526 |
| Materias: |
Tabla de Contenidos:
- Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms
- Behavior Classification of Dairy Cows fitted with GPS collars
- Dynamic Real-time Segmentation and Recongnition of Activities using a Multi-feature Windowing Approach
- Feature Extraction from EEG data for a P300 Based Brain-computer Interface
- Thermal Stratification Prediction at Lake Trevallyn
- Development of a Software Vulnerability Prediction Web Service based on Artificial Neural Networks
- Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining
- Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure
- CNN-based Sequence Labeling for Fine-grained Opinion Mining of Microblogs
- A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles
- Self-Adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems
- Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation
- GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem
- Shelf Time Analysis in CTP Insurance Claims Processing
- Automated Product-Attribute Mapping
- A Novel Extreme Learning Machine-based Classification Algorithm for Uncertain Data
- SPGLAD: A Self-Paced Learning-based Crowdsourcing Classification Model.