Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers
معرفی کتاب «Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers» نوشتهٔ Leong Hou U; Hady W Lauw; PAKDD (Conference)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 1160. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer Front Matter ....Pages i-xiii Front Matter ....Pages 1-1 A Supporting Tool for IT System Security Specification Evaluation Based on ISO/IEC 15408 and ISO/IEC 18045 (Da Bao, Yuichi Goto, Jingde Cheng)....Pages 3-14 An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks (Darshika Koggalahewa, Yue Xu)....Pages 15-27 A Cluster Ensemble Strategy for Asian Handicap Betting (Yue Chen, Jian Shi)....Pages 28-37 Designing an Integrated Intelligence Center: New Taipei City Police Department as an Example (Chun-Young Chang, Lin-Chien Chien, Yuh-Shyan Hwang)....Pages 38-44 Early Churn User Classification in Social Networking Service Using Attention-Based Long Short-Term Memory (Koya Sato, Mizuki Oka, Kazuhiko Kato)....Pages 45-56 Front Matter ....Pages 57-57 Weakly Supervised Learning by a Confusion Matrix of Contexts (William Wu)....Pages 59-64 Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search (Sadaqat ur Rehman, Yongfeng Huang, Shanshan Tu, Basharat Ahmad)....Pages 65-76 Adversarial Active Learning in the Presence of Weak and Malicious Oracles (Yan Zhou, Murat Kantarcioglu, Bowei Xi)....Pages 77-89 The Most Related Knowledge First: A Progressive Domain Adaptation Method (Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue)....Pages 90-102 Front Matter ....Pages 103-103 Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps (Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille)....Pages 105-116 Deep Cascade of Extra Trees (Abdelkader Berrouachedi, Rakia Jaziri, Gilles Bernard)....Pages 117-129 Algorithms for an Efficient Tensor Biclustering (Dina Faneva Andriantsiory, Mustapha Lebbah, Hanane Azzag, Gael Beck)....Pages 130-138 Change Point Detection in Periodic Panel Data Using a Mixture-Model-Based Approach (Allou Samé, Milad Leyli-Abadi)....Pages 139-150 Front Matter ....Pages 151-151 Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification (Tinglin Huang, Yulin He, Dexin Dai, Wenting Wang, Joshua Zhexue Huang)....Pages 153-163 Protein Complexes Detection Based on Deep Neural Network (Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu)....Pages 164-178 Predicting Auction Price of Vehicle License Plate with Deep Residual Learning (Vinci Chow)....Pages 179-188 Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions (Hafiz Suliman Munawar, Ji Zhang, Hongzhou Li, Deqing Mo, Liang Chang)....Pages 189-200 Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering (Wei Ji, Zhenbin Li, Yun Li)....Pages 201-213 Label Distribution Learning Based Age-Invariant Face Recognition (Hai Huang, Senlin Cheng, Zhong Hong, Liutong Xu)....Pages 214-222 Overall Loss for Deep Neural Networks (Hai Huang, Senlin Cheng, Liutong Xu)....Pages 223-231 Sentiment Analysis Based on LSTM Architecture with Emoticon Attention (Changliang Li, Changsong Li, Pengyuan Liu)....Pages 232-242 Aspect Level Sentiment Analysis with Aspect Attention (Changliang Li, Hailiang Wang, Saike He)....Pages 243-254 Front Matter ....Pages 255-255 Transfer Channel Pruning for Compressing Deep Domain Adaptation Models (Chaohui Yu, Jindong Wang, Yiqiang Chen, Zijing Wu)....Pages 257-273 A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting (Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa et al.)....Pages 274-285 Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning (Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram)....Pages 286-297 Robust Faster R-CNN: Increasing Robustness to Occlusions and Multi-scale Objects (Tao Zhou, Zhixin Li, Canlong Zhang)....Pages 298-310 Effectively Representing Short Text via the Improved Semantic Feature Space Mapping (Ting Tuo, Huifang Ma, Haijiao Liu, Jiahui Wei)....Pages 311-321 Probabilistic Graphical Model Based Highly Scalable Directed Community Detection Algorithm (XiaoLong Deng, ZiXiang Nie, JiaYu Zhai)....Pages 322-340 Hilltop Based Recommendation in Co-author Networks (Qiong Wu, Xuan Ou, Jianjun Yu, Heliang Yuan)....Pages 341-351 Neural Variational Collaborative Filtering for Top-K Recommendation (Xiaoyi Deng, Fuzhen Zhuang)....Pages 352-364 Back Matter ....Pages 365-366 This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer. -- Provided by publisher
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