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ORCID22nd PAKDD 2018: Melbourne, VIC, Australia
- Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III. Lecture Notes in Computer Science 10939, Springer 2018, ISBN 978-3-319-93039-8
Feature Learning and Data Mining Process
- Wei Song
, Chaomin Huang:
Discovering High Utility Itemsets Based on the Artificial Bee Colony Algorithm. 3-14 - Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen:
A Scalable and Efficient Subgroup Blocking Scheme for Multidatabase Record Linkage. 15-27 - Wei Zhang, Shiladitya Bose, Said Kobeissi, Scott Tomko, Chris Challis:
Efficient Feature Selection Framework for Digital Marketing Applications. 28-39 - Xiaojun Xie, Xiaolin Qin:
Dynamic Feature Selection Algorithm Based on Minimum Vertex Cover of Hypergraph. 40-51 - Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Feature Selection for Multiclass Binary Data. 52-63 - Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scalable Model-Based Cascaded Imputation of Missing Data. 64-76 - Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
On Reducing Dimensionality of Labeled Data Efficiently. 77-88 - Özgür Akgün, Alan Dearle, Graham N. C. Kirby, Peter Christen:
Using Metric Space Indexing for Complete and Efficient Record Linkage. 89-101 - Kartikeya Bhardwaj, Radu Marculescu:
Dimensionality Reduction via Community Detection in Small Sample Datasets. 102-114 - Xiaochuan Tang, Yuanshun Dai, Yanping Xiang, Liang Luo:
An Interaction-Enhanced Feature Selection Algorithm. 115-125 - Abdullah Semran Alharbi, Yuefeng Li, Yue Xu:
An Extended Random-Sets Model for Fusion-Based Text Feature Selection. 126-138 - Jipeng Wei, Qianjin Wei, Yimin Wen:
Attribute Reduction Algorithm Based on Improved Information Gain Rate and Ant Colony Optimization. 139-150 - Xingyu Cai, Sanguthevar Rajasekaran, Fan Zhang:
Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces. 151-163 - Rameshwar Pratap, Ishan Sohony, Raghav Kulkarni:
Efficient Compression Technique for Sparse Sets. 164-176 - Anna Jurek, Deepak P:
It Pays to Be Certain: Unsupervised Record Linkage via Ambiguity Minimization. 177-190
Community Detection and Network Science
- Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli:
Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning. 193-205 - Shuai Xu, Jiuxin Cao, Xuelin Zhu, Yi Dong, Bo Liu:
Community Discovery Based on Social Relations and Temporal-Spatial Topics in LBSNs. 206-217 - Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin:
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. 218-230 - Pulkit Parikh, Manish Gupta, Vasudeva Varma:
Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction. 231-243
Deep Learning Theory and Applications in KDD
- Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita:
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. 247-259 - Lovedeep Gondara, Ke Wang:
MIDA: Multiple Imputation Using Denoising Autoencoders. 260-272 - Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. 273-284 - Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston:
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks. 285-296 - Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. 297-308 - Vijay Gabale, Uma Sawant:
CDSSD: Refreshing Single Shot Object Detection Using a Conv-Deconv Network. 309-321 - Yujin Tang, Kei Yonekawa, Mori Kurokawa, Shinya Wada, Kiyohito Yoshihara:
Binary Classification of Sequences Possessing Unilateral Common Factor with AMS and APR. 322-334 - Vishwajeet Kumar, Kireeti Boorla, Yogesh Kumar Meena, Ganesh Ramakrishnan, Yuan-Fang Li:
Automating Reading Comprehension by Generating Question and Answer Pairs. 335-348 - Xinyue Zhu, Yifan Liu, Jiahong Li, Tao Wan, Zengchang Qin:
Emotion Classification with Data Augmentation Using Generative Adversarial Networks. 349-360 - Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh:
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. 361-372 - Jan Neerbek, Ira Assent, Peter Dolog:
Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks. 373-385
Clustering and Unsupervised Learning
- Ye Zhu, Kai Ming Ting, Maia Angelova:
A Distance Scaling Method to Improve Density-Based Clustering. 389-400 - Bo Chen, Kai Ming Ting:
Neighbourhood Contrast: A Better Means to Detect Clusters Than Density. 401-412 - Borui Cai, Guangyan Huang, Yong Xiang, Jing He, Guang-Li Huang, Ke Deng, Xiangmin Zhou:
Clustering of Multiple Density Peaks. 413-425 - Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu:
A New Local Density for Density Peak Clustering. 426-438 - Wathsala Anupama Mohotti, Richi Nayak:
An Efficient Ranking-Centered Density-Based Document Clustering Method. 439-451 - Zay Maung Maung Aye, Benjamin I. P. Rubinstein, Kotagiri Ramamohanarao:
Fast Manifold Landmarking Using Locality-Sensitive Hashing. 452-464 - Noureddine Aribi, Abdelkader Ouali, Yahia Lebbah, Samir Loudni:
Equitable Conceptual Clustering Using OWA Operator. 465-477 - Kevin Dalleau, Miguel Couceiro, Malika Smaïl-Tabbone:
Unsupervised Extremely Randomized Trees. 478-489 - Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang:
Local Graph Clustering by Multi-network Random Walk with Restart. 490-501 - Maham Anwar Beg, Muhammad Ahmad, Arif Zaman, Imdadullah Khan:
Scalable Approximation Algorithm for Graph Summarization. 502-514
Privacy-Preserving and Security
- Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos:
RIPEx: Extracting Malicious IP Addresses from Security Forums Using Cross-Forum Learning. 517-529 - Peter Christen, Anushka Vidanage, Thilina Ranbaduge, Rainer Schnell:
Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. 530-542 - Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A Privacy Preserving Bayesian Optimization with High Efficiency. 543-555 - Yan Chen, Wei Wang, Xiangliang Zhang:
Randomizing SVM Against Adversarial Attacks Under Uncertainty. 556-568
Recommendation and Data Factorization
- Debopriyo Banerjee, Niloy Ganguly, Shamik Sural, Krothapalli Sreenivasa Rao:
One for the Road: Recommending Male Street Attire. 571-582 - Yong Zhang, Hua Wei, Xuelian Lin, Fei Wu, Zhenhui Li, Kaiheng Chen, Yuandong Wang, Jie Xu:
Context-Aware Location Annotation on Mobility Records Through User Grouping. 583-596 - Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang:
A Joint Optimization Approach for Personalized Recommendation Diversification. 597-609 - Si-Ying Huang, Yung-Yu Chen, Hung-Yuan Chen, Lun-Chi Chen, Yao-Chung Fan:
Personalized Item-of-Interest Recommendation on Storage Constrained Smartphone Based on Word Embedding Quantization. 610-621
Social Network, Ubiquitous Data and Graph Mining
- Hangyu Mao, Yang Xiao, Yuan Wang, Jiakang Wang, Zhen Xiao:
Topic-Specific Retweet Count Ranking for Weibo. 625-637 - Qi Tan, Yang Liu, Jiming Liu:
Motif-Aware Diffusion Network Inference. 638-650 - Kijung Shin, Mohammad Hammoud, Euiwoong Lee, Jinoh Oh, Christos Faloutsos:
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. 651-663 - Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Calvin S. H. Hoi:
WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases. 664-676 - Jia Li, Brian D. Ziebart, Tanya Y. Berger-Wolf:
A Game-Theoretic Adversarial Approach to Dynamic Network Prediction. 677-688 - Xinjue Wang, Ke Deng, Jianxin Li, Jeffrey Xu Yu, Christian S. Jensen, Xiaochun Yang:
Targeted Influence Minimization in Social Networks. 689-700 - Yu Ting Wen, Wen-Chih Peng, Hong-Han Shuai:
Maximizing Social Influence on Target Users. 701-712 - Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. 713-725 - Mark Heimann, Wei Lee, Shengjie Pan, Kuan-Yu Chen, Danai Koutra:
HashAlign: Hash-Based Alignment of Multiple Graphs. 726-739 - Jaron Mar, Jiamou Liu, Yanni Tang, Wu Chen, Tianyi Sun:
Evaluating and Analyzing Reliability over Decentralized and Complex Networks. 740-751 - Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem:
Efficient Exact and Approximate Algorithms for Computing Betweenness Centrality in Directed Graphs. 752-764 - Cuneyt Gurcan Akcora, Asim Kumer Dey, Yulia R. Gel, Murat Kantarcioglu:
Forecasting Bitcoin Price with Graph Chainlets. 765-776 - Jeffery Ansah, Wei Kang, Lin Liu, Jixue Liu, Jiuyong Li:
Information Propagation Trees for Protest Event Prediction. 777-789 - Lo Pang-Yun Ting, Cheng-Te Li, Kun-Ta Chuang:
Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. 790-802 - Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond K. Wong, Fang Chen:
Leveraging Local Interactions for Geolocating Social Media Users. 803-815 - Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira:
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. 816-828
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