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ORCID21. PAKDD 2017: Jeju, South Korea
- Jinho Kim, Kyuseok Shim, Longbing Cao
, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon:
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10234, 2017, ISBN 978-3-319-57453-0
Classification and Deep Learning
- Harish Yenala, Manoj Kumar Chinnakotla, Jay Goyal:
Convolutional Bi-directional LSTM for Detecting Inappropriate Query Suggestions in Web Search. 3-16 - Yutaro Shigeto, Masashi Shimbo, Yuji Matsumoto:
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs. 17-29 - Harris Partaourides, Sotirios P. Chatzis:
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity. 30-41 - Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen:
Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring. 42-57 - Hao-En Sung, Cheng-Kuan Chen, Han Xiao, Shou-De Lin:
A Classification Model for Diverse and Noisy Labelers. 58-69 - Sk. Minhazul Islam, Arunava Banerjee:
Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression. 70-82 - Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara, Kazune Furudo:
A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry. 83-95 - Mirka Saarela, Joonas Hämäläinen, Tommi Kärkkäinen:
Feature Ranking of Large, Robust, and Weighted Clustering Result. 96-109 - Clément Gautrais, René Quiniou, Peggy Cellier, Thomas Guyet, Alexandre Termier:
Purchase Signatures of Retail Customers. 110-121 - Ruolin Jia, Yun Sing Koh, Gillian Dobbie:
Volatility Adaptive Classifier System. 122-134 - Minoru Yoshida, Kazuyuki Matsumoto, Kenji Kita:
Distributed Representations for Words on Tables. 135-146 - Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai:
Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. 147-159 - Yuki Endo, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada:
Predicting Destinations from Partial Trajectories Using Recurrent Neural Network. 160-172 - Tanya Goyal, Sanket Mehta, Balaji Vasan Srinivasan:
Preventing Inadvertent Information Disclosures via Automatic Security Policies. 173-185 - Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rêgo Drumond, Lars Schmidt-Thieme:
Personalized Deep Learning for Tag Recommendation. 186-197 - Nina C. Hubig, Claudia Plant:
Information-Theoretic Non-redundant Subspace Clustering. 198-209 - Nikou Günnemann, Jürgen Pfeffer:
Cost Matters: A New Example-Dependent Cost-Sensitive Logistic Regression Model. 210-222
Social Network and Graph Mining
- Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos:
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe). 225-237 - Weizheng Chen, Jinpeng Wang, Zhuoxuan Jiang, Yan Zhang, Xiaoming Li:
Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network. 238-250 - Robert Gwadera, Grigorios Loukides:
Cost-Effective Viral Marketing in the Latency Aware Independent Cascade Model. 251-265 - Longfei Shi, Bin Wu, Jing Zheng, Chuan Shi, Mengxin Li:
DSBPR: Dual Similarity Bayesian Personalized Ranking. 266-277 - Balaji Vasan Srinivasan, Noman Ahmed Sheikh, Roshan Kumar, Saurabh Verma, Niloy Ganguly:
Usage Based Tag Enhancement of Images. 278-290 - Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. 291-303 - Phan Duy Nhat, Hoai An Le Thi, Tao Pham Dinh:
Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices. 304-316 - Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
Entity Set Expansion with Meta Path in Knowledge Graph. 317-329 - Yifang Wei, Lisa Singh:
Using Network Flows to Identify Users Sharing Extremist Content on Social Media. 330-342 - Tanmoy Chakraborty, Des Chandhok, V. S. Subrahmanian:
MC3: A Multi-class Consensus Classification Framework. 343-355 - Qun Liao, Shuangshuang Jiang, Min Yu, Yulu Yang, Tao Li:
Monte Carlo Based Incremental PageRank on Evolving Graphs. 356-367 - Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen:
Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs. 368-380 - Xiao Zhang, Wenzhong Li, Hong Huang, Cam-Tu Nguyen, Xu Chen, Xiaoliang Wang, Sanglu Lu:
Predicting Happiness State Based on Emotion Representative Mining in Online Social Networks. 381-394 - Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Exploring Celebrities on Inferring User Geolocation in Twitter. 395-406 - Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng:
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. 407-420 - Swati Agarwal, Ashish Sureka:
Investigating the Dynamics of Religious Conflicts by Mining Public Opinions on Social Media. 421-433 - Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng:
Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases. 434-446 - Tung Doan, Khoat Than:
Sparse Stochastic Inference with Regularization. 447-459 - Gunarto Sindoro Njoo, Min-Chia Kao, Kuo-Wei Hsu, Wen-Chih Peng:
Exploring Check-in Data to Infer Social Ties in Location Based Social Networks. 460-471 - Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita:
Scalable Twitter User Clustering Approach Boosted by Personalized PageRank. 472-485 - Mingxin Liang, Chao Gao, Xianghua Li, Zili Zhang:
An Enhanced Markov Clustering Algorithm Based on Physarum. 486-498 - Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu:
Exploiting Geographical Location for Team Formation in Social Coding Sites. 499-510 - Ankit Sharma, Terrence J. Moore, Ananthram Swami, Jaideep Srivastava:
Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution. 511-523 - Chi Lu, Heyan Huang, Ping Jian, Dan Wang, Yi-Di Guo:
A P-LSTM Neural Network for Sentiment Classification. 524-533 - Vladimir Dzyuba, Matthijs van Leeuwen:
Learning What Matters - Sampling Interesting Patterns. 534-546 - Weizheng Chen, Xianling Mao, Xiangyu Li, Yan Zhang, Xiaoming Li:
PNE: Label Embedding Enhanced Network Embedding. 547-560 - Yichen Hu, Qing Wang, Dinusha Vatsalan, Peter Christen:
Improving Temporal Record Linkage Using Regression Classification. 561-573 - Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang:
Community Detection in Graph Streams by Pruning Zombie Nodes. 574-585 - Mohamed Chebel, Chiraz Latiri, Éric Gaussier:
Bilingual Lexicon Extraction from Comparable Corpora Based on Closed Concepts Mining. 586-598 - Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu:
Collective Geographical Embedding for Geolocating Social Network Users. 599-611
Privacy-Preserving Mining and Security/Risk Applications
- Haoran Li, Li Xiong, Zhanglong Ji, Xiaoqian Jiang:
Partitioning-Based Mechanisms Under Personalized Differential Privacy. 615-627 - Peter Christen, Rainer Schnell, Dinusha Vatsalan, Thilina Ranbaduge:
Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. 628-640 - Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Q. Phung:
Energy-Based Localized Anomaly Detection in Video Surveillance. 641-653 - Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen, Vincent S. Tseng:
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset. 654-670 - Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li:
Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. 671-682
Spatio-Temporal and Sequential Data Mining
- Aritra Ghosh, Naresh Manwani, P. S. Sastry:
On the Robustness of Decision Tree Learning Under Label Noise. 685-697 - Paula Branco, Luís Torgo, Rita P. Ribeiro:
Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. 698-710 - Dongliang Liao, Yuan Zhong, Jing Li:
Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models. 711-723 - Basmah Altaf, Faisal Kamiran, Xiangliang Zhang:
Modeling Temporal Behavior of Awards Effect on Viewership of Movies. 724-736 - Mingxin Liang, Chao Gao, Xianghua Li, Zili Zhang:
A Physarum-Inspired Ant Colony Optimization for Community Mining. 737-749 - Manqing Ma, Wei Pang, Lan Huang, Zhe Wang:
A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks. 750-761 - Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
Local-to-Global Unsupervised Anomaly Detection from Temporal Data. 762-772 - Shan-Yun Teng, Cheng-Kuan Ou, Kun-Ta Chuang:
Mining Temporal Fluctuating Patterns. 773-785 - Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. 786-798 - Yu Ting Wen, Yi Yuan Fan, Wen-Chih Peng:
Mining of Location-Based Social Networks for Spatio-Temporal Social Influence. 799-810 - Yuan He, Cheng Wang, Changjun Jiang:
Multi-perspective Hierarchical Dirichlet Process for Geographical Topic Modeling. 811-823 - Abdelhamid Boudane, Saïd Jabbour, Lakhdar Sais, Yakoub Salhi:
Enumerating Non-redundant Association Rules Using Satisfiability. 824-836
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