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ORCIDICBK 2018: Singapore
- Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen:
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9125-0
Session 1: Knowledge Graphs
- Ruijie Wang
, Meng Wang, Jun Liu, Siyu Yao, Qinghua Zheng:
Graph Embedding Based Query Construction Over Knowledge Graphs. 1-8 - Zunying Qin, Liyuan Huang, Bo She, Qiang Wang, Jingru Cui, Guodong Li:
Detecting Overlapping Communities in Knowledge Graphs: A Density Optimization Based Approach. 9-16 - Sven Hertling, Heiko Paulheim:
DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis. 17-24 - Xiaoyi Fu, Xinqi Ren, Ole J. Mengshoel, Xindong Wu:
Stochastic Optimization for Market Return Prediction Using Financial Knowledge Graph. 25-32 - Yingchun Shan, Chenyang Bu, Xiaojian Liu, Shengwei Ji, Lei Li:
Confidence-Aware Negative Sampling Method for Noisy Knowledge Graph Embedding. 33-40
Session 2-1: Neural Networks and Deep Learning
- Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-Investment Network Learning for Financial Assets. 41-48 - Yi-Feng Wu, De-Chuan Zhan, Yuan Jiang:
DMTMV: A Unified Learning Framework for Deep Multi-task Multi-view Learning. 49-56 - Shaohua Jia, Do Hyong Koh, Amanda Seccia, Pasha Antonenko, Richard L. Lamb, Andreas Keil, Matthew Schneps, Marc Pomplun:
Biometric Recognition Through Eye Movements Using a Recurrent Neural Network. 57-64 - Sri Teja Allaparthi, Ganesh Yaparla, Vikram Pudi:
Sentiment and Semantic Deep Hierarchical Attention Neural Network for Fine Grained News Classification. 65-72 - Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang:
Forecast of Solar Energy Production - A Deep Learning Approach. 73-82
Session 3: Representation Learning
- Yi Zhu, Xuegang Hu, Yuhong Zhang, Pei-Pei Li:
Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders. 83-90 - Gan Sun, Yang Cong, Jun Li, Yun Fu:
Robust Lifelong Multi-task Multi-view Representation Learning. 91-98 - Yishun Jiang, Gongqing Wu, Chenyang Bu, Xuegang Hu:
Chinese Entity Relation Extraction Based on Syntactic Features. 99-105 - Yunzhou Shi, Yujiu Yang, Yi Liu:
Word Embedding Representation with Synthetic Position and Context Information for Relation Extraction. 106-112 - Michael Stewart, Wei Liu, Rachel Cardell-Oliver, Rui Wang:
Short-Text Lexical Normalisation on Industrial Log Data. 113-122
Session 4: Graph Mining and Knowledge Platforms
- Andrew Luke, Joseph Johnson, Yiu-Kai Ng:
Recommending Long-Tail Items Using Extended Tripartite Graphs. 123-130 - Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. 131-138 - Se-Hang Cheong, Yain-Whar Si:
Snapshot Visualization of Complex Graphs with Force-Directed Algorithms. 139-145 - Yong Zhuang, David L. Small, Xin Shu, Kui Yu, Shafiqul Islam, Wei Ding:
Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data. 146-153 - Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao:
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network. 154-161
Session 2-2: Neural Networks and Deep Learning
- Shivin Srivastava, Ashutosh Bhatia:
On the Learning Capabilities of Recurrent Neural Networks: A Cryptographic Perspective. 162-167 - Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura:
An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks. 168-175 - Zhicheng Cui, Muhan Zhang, Yixin Chen:
Deep Embedding Logistic Regression. 176-183 - Michael Mayo, Sarah Wakes, Chris Anderson:
Neural Networks for Predicting the Output of wind flow Simulations Over Complex Topographies. 184-191 - Haifeng Jin, Qingquan Song, Xia Hu:
Discriminative Graph Autoencoder. 192-199
Session 5-1: Machine Learning and Its Applications
- Sergio Ribeiro, JingTao Yao, Denis Alcides Rezende:
Discovering IMRaD Structure with Different Classifiers. 200-204 - Dianlong You, Xindong Wu, Limin Shen, Zhen Chen, Chuan Ma, Song Deng:
Online Feature Selection for Streaming Features with High Redundancy Using Sliding-Window Sampling. 205-212 - Zihan Li, Wei Ding, Kui Yu, Suzanne G. Leveille, Pin Chen:
TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors. 213-220 - Wei Wang, Bingbing Jiang, Shandong Ye, Liting Qian:
Risk Factor Analysis of Bone Mineral Density Based on Feature Selection in Type 2 Diabetes. 221-226 - Sravan Babu Bodapati, Sriraghavendra Ramaswamy, Gururaj Narayanan:
A Machine Learning Approach to Detecting Start Reading Location of eBooks. 227-234
Session 6: Social Networks
- B. S. A. S. Rajita, Subhrakanta Panda:
Events Detection in Temporally Evolving Social Networks. 235-242 - Christopher Harris:
Decomposing TripAdvisor: Detecting Potentially Fraudulent Hotel Reviews in the Era of Big Data. 243-251 - Yan Liu, Hong Yu:
Dynamic Overlapping Community Discovery Based on Core Nodes. 252-259 - Vishal Sharma, Curtis E. Dyreson:
LINKSOCIAL: Linking User Profiles Across Multiple Social Media Platforms. 260-267 - Pengda Si, Yujiu Yang, Yi Liu:
Short-Attention Mechanism for Generative Dialogue System. 268-273
Session 7: Multi-label Learning
- Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu:
Multi-target Core Network-Based Networked Multi-label Classification. 274-281 - Zhengming Ding, Ming Shao, Sheng Li, Yun Fu:
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. 282-289 - Ruilong Zhang, Lei Li, Yuhong Zhang, Chenyang Bu:
Imbalanced Networked Multi-label Classification with Active Learning. 290-297 - Ting Nie:
Multi-label Learning Based on Label-Specific Feature Extraction. 298-305 - Dimche Kostadinov, Behrooz Razeghi, Svyatoslav Voloshynovskiy, Sohrab Ferdowsi:
Learning Discrimination Specific, Self-Collaborative and Nonlinear Model. 306-313
Session 5-2: Machine Learning and Its Applications
- Tan Thong Nguyen, Siu Cheung Hui:
Bayesian Inference for Survival Analysis in Private Setting. 314-321 - Zizhong Chen, Xin Ding, Shuyin Xia, Baiyun Chen:
The k-Means Forest Classifier for High Dimensional Data. 322-327 - Christopher Blake, Eirini Ntoutsi:
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts. 328-335 - Fengyun Cao, Fei Xie:
Depth Recovery from a Single Image Based on L0 Gradient Minimization. 336-341 - Mrinal Kanti Das, Chiranjib Bhattacharyya:
Weight-Agnostic Hierarchical Stick-Breaking Process. 342-349
Session 8-1: Data Analysis and Applications
- Benyamin Ghojogh, Mark Crowley:
Principal Sample Analysis for Data Reduction. 350-357 - Roman Feldbauer, Maximilian Leodolter, Claudia Plant, Arthur Flexer:
Fast Approximate Hubness Reduction for Large High-Dimensional Data. 358-367 - William Hamilton, M. Omair Shafiq:
Opponent Resource Prediction in StarCraft Using Imperfect Information. 368-375 - Yunsheng Liu, Shuyin Xia, Hong Yu, Yueguo Luo, Baiyun Chen, Kang Liu, Guoyin Wang:
Prediction of Aluminum Electrolysis Superheat Based on Improved Relative Density Noise Filter SMO. 376-381 - Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh:
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining. 382-389
Session 8-2: Data Analysis and Applications
- Zhuo-Lin Fu, Fan Min, Heng-Ru Zhang:
Recommendation with Generalized Logistic Transformation. 390-399 - Lechuan Yin, Jiebin Chen, Zhao-Rong Lai:
Mixed-Copula VaR for Portfolio Risk Evaluation. 400-408 - Alasdair Macindoe, Ognjen Arandjelovic:
A Standardized, and Extensible Framework for Comparative Analysis of Quantitative Finance Algorithms - An Open-Source Solution, and Examples of Baseline Experiments with Discussion. 409-414 - Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. 415-422
Session 9: Pattern Analysis
- Maximilian Leodolter, Norbert Brändle, Claudia Plant:
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm. 423-431 - Wenqiang Gao, Yujiu Yang, Yi Liu:
Stance Detection with Target and Target Towards Attention. 432-439 - Zhi-Heng Zhang, Wen-jie Zhai, Rong-Ping Shen, Sheng-Chao Zeng, Fan Min:
State Transition Pattern with Periodic Wildcard Gaps. 440-447 - Xiaofan Fang, Xianghao Zhao:
Nonlinear Dimensionality Reduction with Judicial Document Learning. 448-455 - Shixin Luo, Ying Li:
Data Fusion of Multiple Spatio-Temporal Data Sources for Improved Localisation in Cellular Network. 456-463
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