Автор: Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun Название: Advanced Data Mining and Applications: 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings Издательство: Springer Год: 2017 Серия: Lecture Notes in Computer Science (Book 10604) ISBN: 9783319691787 Язык: English Формат: epub, pdf Размер: 68,1 mb Страниц: 881
The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.
Querying and Mining Strings Made Easy Majed Sahli, Essam Mansour, and Panes Kalnis
Distributed Training Large-Scale Deep Architectures Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, and Edward Y. Chang
Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks Guangyang Qi, Lina Yao, and Anton V. Uzunov
Discovering Group Skylines with Constraints by Early Candidate Pruning Ming-Yen Lin, Yueh-Lin Lin, and Sue-Chen Hsueh
Comparing MapReduce-Based k-NN Similarity Joins on Hadoop for High-Dimensional Data Premysl Cech, Jakub Marousek, Jakub Lokoc, Yasin N. Silva, and Jeremy Starks
A Higher-Fidelity Frugal Quantile Estimator An is Yazidi, Hugo Lewi Hammer, and B. John Oommen
Recommender System
Fair Recommendations Through Diversity Promotion Pierre-Rene Lherisson, Fab rice Muhlenbach, and Pierre Maret
A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data ThaiBinh Nguyen and Atsuhiro Takasu
Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities Areej Alsini, Amitava Datta, Jianxin Li, and Du Huynh
Group Recommender Model Based on Preference Interaction Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan, and Xiaolin Qin
Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems Yong Zheng, Mayur Agnani, and Mili Singh
Social Network and Social Media
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks Xiaoming Li, Hui Fang, and Jie Zhang
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach Xingyu Niu, Hongyi Zhang, Micheal R. Lyu, and Irwin King
Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises Xiaodong Ning, Lina Yao, XianzJii Wang, and Boualem Benatallah
Efficient Revenue Maximization for Viral Marketing in Social Networks Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, and Binxing Fang
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, and Xue U
FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia Coriane Nana Jipmo, Gianluca Quercini, and Nacera Bennacer
A Solution to Tweet-Based User Identification Across Online Social Networks Yongjun Li, Zhen Zhang, and You Peng
Machine Learning
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, and Xiaoyi Hu
Mixed Membership Sparse Gaussian Conditional Random Fields Jie Yang, Henry C.M. Leung, S.M. Yiu, and Francis Y.L. Chin
Effects of Dynamic Subspacing in Random Forest Md Nasim Adrian and Md Zahidul Islam
Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach Bassma Al-Juhouri and Bogdan Gahrys
Hybrid Subspace Mixture Models for Prediction and Anomaly Detection in High Dimensions Jenn-Bing Ong and Wee-Keong Ng
Classification and Clustering Methods
StruClus: Scalable Structural Graph Set Clustering with Representative Sampling Till Schafer and Petra Mutzel
Employing Hierarchical Clustering and Reinforcement Learning for Attribute-Based Zero-Shot Classification Bin Liu, Li Yao, Jun feng Wu, and Xiaosheng Feng
Environmental Sound Recognition Using Masked Conditional Neural Networks Fadty Medhat, David Chesmore, and John Robinson
Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure Mohammad Khubeb Siddiqui, Md Zahidul Islam, and Muhammad Ashad Kabir
A Framework for Clustering and Dynamic Maintenance of XML Documents Ahmed Al-Shanunari, Chengfei Liu, Mehdi Naseriparsa, Bao Quoc Vo, Tarique Anwar, and Rui Zhou
Language-Independent Twitter Classification Using Character-Based Convolutional Networks Shiwei Zhang, Xiuzhen Zhang, and Jeffrey Chan
Behavior Modeling and User Profiling
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues Thanh-Nam Doan and Ее-Peng Um
An Empirical Study on Collective Online Behaviors of Extremist Supporters Jung-jae Kim, Yong Liu, Wee Yong Lim, and VrizJynn L.L Thing
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors Eric Falk, Jeremy Charlier, and Radu State
An Approach for Identifying Author Profiles of Blogs Chunxia Zhang, Yu Guo, Jiayu Wu, Shuliang Wang, Zhendong Niu, and Wen Cheng
Generating Topics of Interests for Research Communities Nagendra Kumar, Rahul Utkoor, Bharath K.R Appareddy, and Manish Singh
An Evolutionary Approach for Learning Conditional Preference Networks from Inconsistent Examples Mohammad Haqqani and Xiaodong Li
Bioinformalic and Medical Data Analysis
Predicting Clinical Outcomes of Alzheimer’s Disease from Complex Brain Networks Xingjuan Li, Yu Li, and Xue U
Doctoral Advisor or Medical Condition: Towards Entity-Specific Rankings of Knowledge Base Properties Simon Razniewski, Vevake Balaraman, and Werner Nutt
Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets Hasseeh Azzawi, Jingyu Hou, Russul Alanni, Yong Xiang, Rana Ahdu-Aljahar, and Ali Azzawi
Drug-Drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers Zibo Yi, Shasha Li, Jie Yu, Yusong Tan, Qingbo Wu, Hong Yuan, and Ting Wang
Spatio-Temporal Data
People-Centric Mobile Crowdsensing Platform for Urban Design Shili Xiang, Lu Li, Si Min Lo, and Xiaoli Li
Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining Mutt Hou Wong, Vincent S. Tseng, Jerry C.C. Tseng, Sun-Wei Liu, and Cheng-Hung Tsai
An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting Ruixin Yang, Mingyang Xu, Junyi He, Stephen Ranshous, and Nagiza F. Samatova
Mobile Robot Scheduling with Multiple Trips and Time Windows Shudong Liu, Huayu Wu, Shili Xiang, and Xiaoli Li
Natural language Processing and Text Mining
Feature Analysis for Duplicate Detection in Programming QA Communities Wei Emma Zhang, Quan Z Sheng, Yanjun Shu, and Vanh Khuyen Nguyen A Joint Human/Machine Process for Coding Events and Conflict Drivers Bradford Heap, Alfred Krzywicki, Susanne Schmeidl, Wayne Wohcke, and Michael Bain
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, and Yihe Chen
Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN YazJwu Hao, Qinghua Zheng, Yangyang Lan, Yufei Li, Meng Wang, Sen Wang, and Chen Li
Entity Recognition by Distant Supervision with Soft List Constraint Hongkui Tu, Zongyang Ma, Aixin Sun, Zhiqiang Xu, and Xiaodong Wang
Structured Sentiment Analysis Ahdulqader Almars, Xue Li, Xin Zhao, Ibrahim A. Ibrahim, Weiwei Yuan, and Bohan Li
Data Mining Applications
Improving Real-Time Bidding Using a Constrained Markov Decision Process Manxing Du, Redouane Sassioui, Georgios Varisteas, Radu State, Mats Brorsson, and Omar Cherkaoui
PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network Yao Cheng, Chang Xu, Daisuke Mashima, VrizJynn LL. Thing, and Yongdong Wu
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments Anis Yazidi, B. John Oommen, and Morten Goodwin
Color-Sketch Simulator: A Guide for Color-Based Visual Known-Item Search Jakub Lokoc, Anh Nguyen Phuong, Marta Vomlelova, and Chong-Wah Ngo
Applications
Making Use of External Company Data to Improve the Classification of Bank Transactions Erlend Vollset, Eirik Folkestad Marius Rise Gall ala, and Jon Atle Gulla
Mining Load Profile Patterns for Australian Electricity Consumers Vanh Khuyen Nguyen, Wei Emma Zhang, Quail Z Sheng, and Jason Merefield
STA: A Spatio-Temporal Thematic Analytics Framework for Urban Ground Sensing Guizi Chen, Liang Yu, Wee Siong Ng, Huayu Wu, and Usha Nanthani Kunasegaran
Privacy and Utility Preservation for Location Data Using Stay Region Analysis Manoranjan Dash and Sin G. Teo
Location-Aware Human Activity Recognition Tam Г Nguyen, Daniel Fernandez, Quy T.K. Nguyen, and Ebrahim Bagheri
Demos
SWYSWYK: A New Sharing Paradigm for the Personal Cloud Paul Tran-Van, Nicolas Anciaux, and Philippe Pucheral
Tools and Infrastructure for Supporting Enterprise Knowledge Graphs Sumit Bhatia, Nidhi Rajshree, Anshu Jain, and Nitish Aggarwal
An Interactive Web-Based Toolset for Knowledge Discovery from Short Text Log Data Michael Stewart, Wei Liu, Rachell Cardell-Oliver, and Mark Griffin
Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media Wei Kang, Jie Chen, Jiuyong U, Jixue Uu, Lin Liu, Grant Osborne, Nick Lothian, Brenton Cooper, Terry Mosclwu, and Grant Neale
A System for Querying and Analyzing Urban Regions Wee Boon Koh and Xiaolei Li
Detect Tracking Behavior Among Trajectory Data Jianqiu Xu and Jiangang Zhou
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