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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kang, U. (Επιμελητής έκδοσης), Lim, Ee-Peng (Επιμελητής έκδοσης), Yu, Jeffrey Xu (Επιμελητής έκδοσης), Moon, Yang-Sae (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Computer Science, 10526
• Θέματα: Computer science.; Health informatics.; Computers.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Health Informatics.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Computation by Abstract Devices.

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selec...

Πίνακας περιεχομένων:

• 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.