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)

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 selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM). Front Matter ....Pages I-XIV Front Matter ....Pages 1-1 Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms (Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li)....Pages 3-14 Behavior Classification of Dairy Cows Fitted with GPS Collars (Robert Dunne, Dave Henry, Richard Rawnsley, Ashfaqur Rahman)....Pages 15-25 Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach (Ahmad Shahi, Brendon J. Woodford, Hanhe Lin)....Pages 26-38 Feature Extraction from EEG Data for a P300 Based Brain-Computer Interface (Ali Hajian, Suet-Peng Yong)....Pages 39-50 Thermal Stratification Prediction at Lake Trevallyn (Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne)....Pages 51-55 Front Matter ....Pages 57-57 Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks (Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu)....Pages 59-67 Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining (Youcef Djenouri, Zineb Habbas, Djamel Djenouri, Marco Comuzzi)....Pages 68-78 Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure (Li Ni, Wenjian Luo, Chenyang Bu, Yamin Hu)....Pages 79-93 CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs (Jiajun Cheng, Pei Li, Xin Zhang, Zhaoyun Ding, Hui Wang)....Pages 94-103 A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles (Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke)....Pages 104-115 Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems (Hao Long, Yulin He, Joshua Zhexue Huang, Qiang Wang)....Pages 116-128 Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation (Tomonari Masada)....Pages 129-137 GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem (Youcef Djenouri, Marco Comuzzi)....Pages 138-148 Front Matter ....Pages 149-149 Shelf Time Analysis in CTP Insurance Claims Processing (Robert Andrews, Moe Wynn)....Pages 151-162 Automated Product-Attribute Mapping (Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal)....Pages 163-175 A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data (Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang)....Pages 176-188 SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model (Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang)....Pages 189-201 Back Matter ....Pages 203-203