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ORCID21st PAKDD 2017: Jeju, South Korea
- U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon:
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. Lecture Notes in Computer Science 10526, Springer 2017, ISBN 978-3-319-67273-1
MLSDA
- Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li:
Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms. 3-14 - Robert Dunne, David Henry, Richard Rawnsley, Ashfaqur Rahman
:
Behavior Classification of Dairy Cows Fitted with GPS Collars. 15-25 - Ahmad Shahi, Brendon J. Woodford, Hanhe Lin:
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. 26-38 - Ali Hajian, Suet-Peng Yong:
Feature Extraction from EEG Data for a P300 Based Brain-Computer Interface. 39-50 - Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne:
Thermal Stratification Prediction at Lake Trevallyn. 51-55
BDM
- Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu:
Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks. 59-67 - Youcef Djenouri, Zineb Habbas, Djamel Djenouri, Marco Comuzzi:
Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining. 68-78 - Li Ni, Wenjian Luo, Chenyang Bu, Yamin Hu:
Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure. 79-93 - Jiajun Cheng, Pei Li, Xin Zhang, Zhaoyun Ding, Hui Wang:
CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs. 94-103 - Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke:
A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles. 104-115 - Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang:
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. 116-128 - Tomonari Masada:
Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation. 129-137 - Youcef Djenouri, Marco Comuzzi:
GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem. 138-148
DM-BPM
- Robert Andrews, Moe Thandar Wynn:
Shelf Time Analysis in CTP Insurance Claims Processing. 151-162 - Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal:
Automated Product-Attribute Mapping. 163-175 - Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang:
A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. 176-188 - Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang:
SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. 189-201
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