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ORCID15th ICDM Workshops 2015: Atlantic City, NJ, USA
- IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-8493-3
Analyzing Events Using Social Media Data
- Henning Hamer, Andreas Merentitis, Nikolaos Frangiadakis, Sergey Shukanov:
Automatic Visual Analysis of Real-World Events Covered By Social Media Using Convolutional Neural Networks. 1-6 - Takako Hashimoto, Dave Shepard, Tetsuji Kuboyama, Kilho Shin:
Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique. 7-12 - Yao Liu, Hong Gao, Xiaohui Kang, Qiao Liu
, Ruijin Wang, Zhiguang Qin:
Fast Community Discovery and Its Evolution Tracking in Time-Evolving Social Networks. 13-20 - Partha Mukherjee, Bernard J. Jansen:
Correlation of Brand Mentions in Social Media and Web Searching Before and After Real Life Events: Phase Analysis of Social Media and Search Data for Super Bowl 2015 Commercials. 21-26 - Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Mahdi Ghassemi, Quanzhi Li:
Newsworthy Rumor Events: A Case Study of Twitter. 27-32 - Meryem Sagcan, Pinar Karagoz:
Toponym Recognition in Social Media for Estimating the Location of Events. 33-39 - Erich Schubert, Michael Weiler, Arthur Zimek:
Outlier Detection and Trend Detection: Two Sides of the Same Coin. 40-46 - Soroush Vosoughi, Deb Roy:
A Human-Machine Collaborative System for Identifying Rumors on Twitter. 47-50
Behavior Analysis, Modeling, and Steering
- Samer Al-khateeb, Nitin Agarwal:
Examining Botnet Behaviors for Propaganda Dissemination: A Case Study of ISIL's Beheading Videos-Based Propaganda. 51-57 - Alex Brown, Myriam Abramson:
Twitter Fingerprints as Active Authenticators. 58-63 - Iuliia Chepurna, Masoud Makrehchi:
Exploiting Class Bias for Discovery of Topical Experts in Social Media. 64-71 - Shilin Fan, Ping Li, Ting Liu, Yan Chen:
Population Behavior Analysis of Chinese University Students via Digital Campus Cards. 72-77 - Maria Gabriella Mosquera, Vlado Keelj:
Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering. 78-85
Big Media Data: Understanding, Search, and Mining
- Xugang Ye, Zijie Qi, Xinying Song, Xiaodong He, Dan Massey:
Generalized Learning of Neural Network Based Semantic Similarity Models and Its Application in Movie Search. 86-93 - Patrick J. Donnelly, John W. Sheppard:
Cross-Dataset Validation of Feature Sets in Musical Instrument Classification. 94-101 - Toshikazu Wada, Yuichi Mukai:
Fast Keypoint Reduction for Image Retrieval by Accelerated Diverse Density Computation. 102-107 - Yu Wang, Jianbo Yuan, Jiebo Luo:
To Love or to Loathe: How is the World Reacting to China's Rise? 108-115 - Haizhou Du, Shengjie Zhao, Daqiang Zhang:
Robust Local Outlier Detection. 116-123
Biological Data Mining and Its Applications in Healthcare
- Zaheer Babar, Abdul Mannan, Faisal Kamiran, Asim Karim:
Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries. 124-131 - Haifa Ben Saber, Mourad Elloumi:
An Enumerative Biclustering Algorithm for DNA Microarray Data. 132-138 - Hristijan Gjoreski, Matjaz Gams, Mitja Lustrek:
Human Activity Recognition: From Controlled Lab Experiments to Competitive Live Evaluation. 139-145 - Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic:
Toward Comprehensive Attribution of Healthcare Cost Changes. 146-155 - Nathan LaPierre, Huzefa Rangwala:
Predicting Clinical Phenotype Using OTU-Based Metagenome Representation. 156-163 - Minh Nguyen, Liyue Fan, Cyrus Shahabi:
Activity Recognition Using Wrist-Worn Sensors for Human Performance Evaluation. 164-169 - Mihir Shekhar, Veera Raghavendra Chikka, Lini T. Thomas, Sunil Mandhan, Kamalakar Karlapalem:
Identifying Medical Terms Related to Specific Diseases. 170-177 - Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical Prescription Pattern Analysis with Symptom Labels. 178-187 - Christopher C. Yang, Haodong Yang:
Exploiting Social Media with Tensor Decomposition for Pharmacovigilance. 188-195 - Haodong Yang, Christopher C. Yang:
Mining a Weighted Heterogeneous Network Extracted from Healthcare-Specific Social Media for Identifying Interactions between Drugs. 196-203
Data Integration and Applications
- Cheng Chen, Daniel L. Pullen, Reed H. Petty, John R. Talburt:
Methodology for Large-Scale Entity Resolution without Pairwise Matching. 204-210 - Peter Christen, Ross W. Gayler:
Context-Aware Approximate String Matching for Large-Scale Real-Time Entity Resolution. 211-217 - Jeffrey Fisher, Qing Wang:
Unsupervised Measuring of Entity Resolution Consistency. 218-221 - Steven Ruggles, Tracy A. Kugler, Catherine A. Fitch, David C. Van Riper:
Terra Populus: Integrated Data on Population and Environment. 222-231 - Rainer Schnell, Christian Borgs:
Building a National Perinatal Data Base without the Use of Unique Personal Identifiers. 232-239 - Cong Shi, Rong Duan:
Multiresolution Mutual Information Method for Social Network Entity Resolution. 240-247 - Quanlong Zhang, Feng Li, Fang Wang, Zhoujun Li:
Named Entity Disambiguation Leveraging Multi-aspect Information. 248-255
Data Mining for Educational Assessment and Feedback
- Mi Fei, Dit-Yan Yeung:
Temporal Models for Predicting Student Dropout in Massive Open Online Courses. 256-263 - Yu Guo, Wanli Xing, Hee-Sun Lee:
Identifying Students' Mechanistic Explanations in Textual Responses to Science Questions with Association Rule Mining. 264-268 - Bryan Hooi, Hyun Ah Song, Evangelos E. Papalexakis, Rakesh Agrawal, Christos Faloutsos:
Education, Learning and Information Theory. 269-272 - Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde:
Including Content-Based Methods in Peer-Assessment of Open-Response Questions. 273-279 - Fabian Zehner, Frank Goldhammer, Christine Salzer:
Using and Improving Coding Guides for and by Automatic Coding of PISA Short Text Responses. 280-287
Data Mining for Services
- Karan Kumar Budhraja, Tim Oates:
Adversarial Feature Selection. 288-294 - Xiang Cheng, Shuguang Zhu, Gang Chen, Sen Su:
Exploiting User Feedback for Expert Finding in Community Question Answering. 295-302 - Tian Huang, Yongxin Zhu, Yafei Wu, Weiwei Shi:
J-Distance Discord: An Improved Time Series Discord Definition and Discovery Method. 303-310 - Raja Rathnam Naidu Kanapaka, Raghu-Kisore Neelisetti:
A Stochastic Game Theoretic Model for Expanding ATM Services. 311-318 - Ying Li, Pavankumar Murali, Nan Shao, Anshul Sheopuri:
Applying Data Mining Techniques to Direct Marketing: Challenges and Solutions. 319-327 - Zhen Li, Katsutoshi Yada:
Why do Retailers End Price Promotions: A Study on Duration and Profit Effects of Promotion. 328-335 - Masumi Okuda, Akira Yasuda, Shusaku Tsumoto:
The Change of the Structure of Patient Satisfaction by Waiting Time, Length of Stay and Hospital Rebuilding in Japan. 336-344 - Karthikeyan Natesan Ramamurthy, Moninder Singh, Michael Davis, J. Alex Kevern, Uri Klein, Michael Peran:
Identifying Employees for Re-skilling Using an Analytics-Based Approach. 345-354 - Kazuki Taniguchi, Yuki Harada, Nguyen Tuan Duc:
Adslot Mining for Online Display Ads. 355-364 - Shusaku Tsumoto, Shoji Hirano:
Rule Mining Based on Nonmonotonic Rule Layers and Its Application to Medicine. 365-372 - Weidong Zhao, Ran Wu, Weihui Dai, Yonghui Dai:
Research Paper Recommendation Based on the Knowledge Gap. 373-380
Data Mining for Smart Cities
- Marc Le Goc, Fabien Barthelot, Eric Pascual:
Emergence of Regularities in the Stochastic Behavior of Human. 381-388 - Tengfei Liu, Xianghua Ding, Ning Gu:
A Generic Energy Disaggregation Approach: What and When Electrical Appliances are Used. 389-397 - Petar Mrazovic, Mihhail Matskin, Nima Dokoohaki:
Trajectory-Based Task Allocation for Reliable Mobile Crowd Sensing Systems. 398-406 - Dongxu Shao, Wei Wu, Shili Xiang, Yu Lu:
Estimating Taxi Demand-Supply Level Using Taxi Trajectory Data Stream. 407-413 - Ruiming Tang, Huayu Wu, Xiuqiang He, Stéphane Bressan:
Valuating Queries for Data Trading in Modern Cities. 414-421 - Liang Yu, Dongxu Shao, Huayu Wu:
Next Generation of Journey Planner in a Smart City. 422-429 - Yuxun Zhou, Dan Li, Costas J. Spanos:
Learning Optimization Friendly Comfort Model for HVAC Model Predictive Control. 430-439
Data Mining in Biomedical Informatics and Healthcare
- Tsu-Wei Chen, Meena Abdelmaseeh, Daniel W. Stashuk:
Affine and Regional Dynamic Time Warping. 440-448 - Samah Jamal Fodeh, Andrea L. Benin, Perry L. Miller, Kyle Lee, Michele Koss, Cynthia Brandt:
Laplacian SVM Based Feature Selection Improves Medical Event Reports Classification. 449-454 - Sarmad Istephan, Mohammad-Reza Siadat:
Extensible Query Framework for Unstructured Medical Data - A Big Data Approach. 455-462 - Brendan Kennedy, Miguel Carrazza, Alex Rasin, Jacob Furst, Daniela Stan Raicu:
Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium. 463-471 - Boshu Ru, Kimberly Harris, Lixia Yao:
A Content Analysis of Patient-Reported Medication Outcomes on Social Media. 472-479 - Emilio Soria-Olivas, José David Martín-Guerrero, Josep Redon, Maria Tellez-Plaza, Joan Vila-Francés:
Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes. 480-484
Data Mining in Networks
- Mustafa Coskun, Mehmet Koyutürk:
Link Prediction in Large Networks by Comparing the Global View of Nodes in the Network. 485-492 - Hugo Gualdron, Robson L. F. Cordeiro, José F. Rodrigues Jr.:
StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices. 493-500 - Decebal Constantin Mocanu, Maria Torres Vega, Antonio Liotta:
Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics. 501-507 - Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali:
Mining Unstable Communities from Network Ensembles. 508-515 - Anna Sapienza, André Panisson, Joseph Wu, Laetitia Gauvin, Ciro Cattuto:
Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition. 516-523 - Saksham Singhal, Vikram Pudi:
Dispersion Based Similarity for Mining Similar Papers in Citation Network. 524-531 - Brian Thompson, James Abello:
Efficient and Time Scale-Invariant Detection of Correlated Activity in Communication Networks. 532-539 - Ketong Wang, Aaron Beach:
Email Engagement Segmentation Using Bipartite Graph Co-clustering. 540-546
Data Science and Big Data Analytics
- Wenjun Wang, W. Nick Street:
Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation. 547-556 - Amani Al-Ghraibah, Laura E. Boucheron, R. T. James McAteer:
A Study of Feature Selection of Magnetogram Complexity Features in an Imbalanced Solar Flare Prediction Data-Set. 557-564 - Abdulrahman Alhamali, Nibal Salha, Raghid Morcel, Mazen Ezzeddine, Omar Hamdan, Haitham Akkary, Hazem M. Hajj:
FPGA-Accelerated Hadoop Cluster for Deep Learning Computations. 565-574 - Berkay Aydin, Rafal A. Angryk:
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. 575-581 - Juan M. Banda, Rafal A. Angryk:
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. 582-588 - Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit:
Citation Prediction Using Diverse Features. 589-596 - Christian Böhm, Claudia Plant:
Mining Massive Vector Data on Single Instruction Multiple Data Microarchitectures. 597-606 - Radha Chitta, Rong Jin, Anil K. Jain:
Stream Clustering: Efficient Kernel-Based Approximation Using Importance Sampling. 607-614 - Jie Ding, Mohammad Noshad, Vahid Tarokh:
Order Selection of Autoregressive Processes Using Bridge Criterion. 615-622 - Guansong Pang, Kai Ming Ting, David W. Albrecht:
LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours. 623-630 - Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. 631-638 - Noah Youngs, Dennis E. Shasha, Richard Bonneau:
Positive-Unlabeled Learning in the Face of Labeling Bias. 639-645
DAVA: DAta mining meets Visual Analytics at Big Data Era
- Yang Chen:
Visual Opinion Analysis of Threaded Discussions. 646-651 - Xianlin Hu, Leting Wu, Aidong Lu, Xintao Wu:
Block-Organized Topology Visualization for Visual Exploration of Signed Networks. 652-659 - Julia Camille L. Menchavez, Kurt J. P. Espinosa:
Fun in the Philippines: Automatic Identification and Sentiment Analysis of Tourism-Related Tweets. 660-667 - Geetika Sharma, Gautam Shroff, Aditeya Pandey, Brijendra Singh, Gunjan Sehgal, Kaushal Paneri, Puneet Agarwal:
Multi-sensor Visual Analytics Supported by Machine-Learning Models. 668-674 - Le Wang, Jiangtao Gong, Lei Shi:
OLAP Visual Analytics on Large Software Call Graphs with Hierarchical ChordMap. 675-679
Designing Safe and Secure Life on the Market of Data
- Akinori Abe:
The Role of Context in Abductive Reasoning and Context Retrieval from Clauses - Towards IMDJ. 680-686 - Yu-Sheng Chen, Lieu-Hen Chen, Yasufumi Takama:
Proposal of LDA-Based Sentiment Visualization of Hotel Reviews. 687-693 - Mamoru Emoto:
Extraction of Preference of Recipe Providers and Users on Recipe-Sharing Websites. 694-697 - Teruaki Hayashi:
Estimating Contextual Relationships of Stakeholders in Scenarios Using DBpedia. 698-705 - Iordanis Koutsopoulos, Aristides Gionis, Maria Halkidi:
Auctioning Data for Learning. 706-713 - Noriyuki Kushiro, Takuro Shimizu:
Extended Goal Graph: A Support Tool for Discovering Conflicts among Stakeholders and Promoting Requirements Elicitation with Goal Orientation. 714-721 - Naohiro Matsumura, Hideaki Takeda:
Shikake Data Market for Collaborative Shikake Creation. 722-727 - Jun Nakamura, Masahiko Teramoto:
Knowledge-Based Circulation Growth Model: Applying a Data Marketplace to Concept Design. 728-733 - Yukio Ohsawa:
Tangled String Diverted for Evaluating Stock Risks: A by Product of Innovators Marketplace on Data Jackets. 734-741 - Masahiko Teramoto, Jun Nakamura:
Application of Applied KOTO-FRAME to the Five-Story Pagoda Aseismatic Mechanism. 742-748 - Quexuan Zhang:
Data Jacket Retrieval Based on Explicit Semantic Analysis. 749-752
Environmental Acoustic Representation and Data Mining
- Randall Balestriero, Hervé Glotin:
Scattering Decomposition for Massive Signal Classification: From Theory to Fast Algorithm and Implementation with Validation on International Bioacoustic Benchmark. 753-761 - Xueyan Dong, Michael W. Towsey, Jinglan Zhang, Paul Roe:
Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings. 762-767 - Peter J. Dugan, Holger Klinck, John A. Zollweg, Christopher W. Clark:
Data Mining Sound Archives: A New Scalable Algorithm for Parallel-Distributing Processing. 768-772 - Xavier Mouy, Pierre-Alain Mouy, David Hannay, Tom Dakin:
JMesh - A Scalable Web-Based Platform for Visualization and Mining of Passive Acoustic Data. 773-779 - Joseph Razik, Hervé Glotin, Maia Hoeberechts, Yann Doh, Sébastien Paris:
Sparse Coding for Efficient Bioacoustic Data Mining: Preliminary Application to Analysis of Whale Songs. 780-787 - Michael W. Towsey, Anthony M. Truskinger, Paul Roe:
The Navigation and Visualisation of Environmental Audio Using Zooming Spectrograms. 788-797 - Liang Zhang, Michael W. Towsey, Jinglan Zhang, Paul Roe:
Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness. 798-805
Interdisciplinary Workshop on Big Data
- Alireza Chakeri, Lawrence O. Hall:
Large Data Clustering Using Quadratic Programming: A Comprehensive Quantitative Analysis. 806-813 - Julio Santisteban, Javier Tejada-Cárcamo:
Paradigmatic Clustering for NLP. 814-820 - Dominique Zosso, Braxton Osting, Stanley J. Osher:
A Dirichlet Energy Criterion for Graph-Based Image Segmentation. 821-830
High Dimensional Data Mining
- Emin Aksehirli, Siegfried Nijssen, Matthijs van Leeuwen, Bart Goethals:
Finding Subspace Clusters Using Ranked Neighborhoods. 831-838 - Daniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Pietro Michiardi, Fabio Pulvirenti:
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data. 839-846 - Fernando Benites, Elena P. Sapozhnikova:
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification. 847-854 - Jean-Charles Lamirel, Pascal Cuxac:
New Quality Indexes for Optimal Clustering Model Identification with High Dimensional Data. 855-862 - Basarab Matei, Younès Bennani:
Pruned Simple Model Sets for Fast Exact Recovery of Image. 863-870 - Kaiyuan Wu, Zhiming Zheng:
Fast LMNN Algorithm through Random Sampling. 871-876
Information Analysis and Data Mining over Social Network
- Somayyeh Aghababaei, Masoud Makrehchi:
Temporal Topic Inference for Trend Prediction. 877-884 - Lu Deng, Yong Quan, Jing Xu, Jiuming Huang, Bin Zhou:
Topic Detection Based on User Intention. 885-891 - Lei Li, Qin Liang, Guanfeng Liu:
Ranking-Based Multi-source Rating Aggregation with Social Contexts. 892-899 - Xiaoming Li, Bin Wu, Qian Guo, Xuelin Zeng, Chuan Shi:
Dynamic Community Detection Algorithm Based on Incremental Identification. 900-907 - Ransen Niu, Sebastián Moreno, Jennifer Neville:
Analyzing the Transferability of Collective Inference Models Across Networks. 908-916 - Brian Thompson, Linda Ness, David Shallcross, Devasis Bassu:
Discovering Functional Communities in Social Media. 917-924 - Shupeng Wang, Xiaoyu Zhang, Xiao-chun Yun, Guangjun Wu:
Joint Recovery and Representation Learning for Robust Correlation Estimation Based on Partially Observed Data. 925-931 - Xinhu Zheng, Jiamiao Wang, Fei Jie, Lei Li:
Two Phase Based Spammer Detection in Weibo. 932-939 - Zan Zhang, Hao Wang, Lei Li, Guanfeng Liu:
Core Network Based Multi-label Classification in Large-Scale Social Network Environments. 940-947
Intelligence and Security Informatics
- Nasser Alsadhan, David B. Skillicorn:
Comparing SVD and SDAE for Analysis of Islamist Forum Postings. 948-953 - Lisa Kaati, Enghin Omer, Nico Prucha, Amendra Shrestha:
Detecting Multipliers of Jihadism on Twitter. 954-960 - Shuhua Liu, Thomas Forss:
Text Classification Models for Web Content Filtering and Online Safety. 961-968 - Mariam Nouh, Jason R. C. Nurse:
Identifying Key-Players in Online Activist Groups on the Facebook Social Network. 969-978 - Ryan Scrivens, Garth Davies, Richard Frank, Joseph Mei:
Sentiment-Based Identification of Radical Authors (SIRA). 979-986 - Liang Shi, Derek Lin, Chunsheng Victor Fang, Yan Zhai:
A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network. 987-996 - Andrew J. Park, Herbert H. Tsang, Shawn Buckley, Hector C. Alzate Ramirez, Valerie Spicer:
A Decision Support System for Crowd Control Using Agent-Based Modeling and Simulation. 997-1000 - Zhihai Yang, Zhongmin Cai:
Defending Suspected Users by Exploiting Specific Distance Metric in Collaborative Filtering Recommender Systems. 1001-1006 - Quan Zheng, David B. Skillicorn, Olivier Walther:
Signed Directed Social Network Analysis Applied to Group Conflict. 1007-1014 - Yuhao Zhang, Wenji Mao, Daniel Dajun Zeng:
Constructing Topic Hierarchies from Social Media Data. 1015-1018
MobileDM & HuMoComp 2015
- Chien-Cheng Chen, Chia-Hsiang Kuo, Wen-Chih Peng:
Mining Spatial-Temporal Semantic Trajectory Patterns from Raw Trajectories. 1019-1024 - Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li:
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. 1025-1030 - Dancheng Li, Guangming Zhao, Zhi Wang, Wenjia Ma, Ying Liu:
A Method of Purchase Prediction Based on User Behavior Log. 1031-1039 - Houyi Li, Banghe Han, Ying Li, Junming Li:
Impulse-Response Model for Human Behaviors Sequences. 1040-1047 - Qiang Li, Maojie Gu, Keren Zhou, Xiaoming Sun:
Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce. 1048-1054 - Xiang Li, Suchi Qian, Furong Peng, Jian Yang, Xiaolin Hu, Rui Xia:
Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm. 1055-1062 - Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun:
Lifting the Predictability of Human Mobility on Activity Trajectories. 1063-1069 - Suchi Qian, Furong Peng, Xiang Li, Jianfeng Lu:
The Hierarchical Model to Ali Mobile Recommendation Competition. 1070-1077 - Zeyang Ye, Keli Xiao, Yuefan Deng:
Investigation of Simulated Annealing Cooling Schedule for Mobile Recommendations. 1078-1084 - Zhihao Yi, Danning Wang, Kai Hu, Qiang Li:
Purchase Behavior Prediction in M-Commerce with an Optimized Sampling Methods. 1085-1092 - Zhaojing Zhang, Regina Wang, Weihong Zheng, Shizhan Lan, Dong Liang, Hao Jin:
Profit Maximization Analysis Based on Data Mining and the Exponential Retention Model Assumption with Respect to Customer Churn Problems. 1093-1097
Mobility Analytics from Spatial and Social Data
- Aisylu Khairullina, Joo-Young Lee, Gwan Jang, Sung-Hyon Myaeng:
Observing Behaviors of Information Diffusion Models for Diverse Topics of Posts on VK. 1098-1102 - Dong Liang, Jingkang Yang, Rui Xuan, Zhaojing Zhang, Zhifang Yang, Kexin Shi:
Principal Component Analysis and Clustering Based Indoor Localizaion. 1103-1108 - Ce Liu, Qiang Qu:
Trip Fare Estimation Study from Taxi Routing Behaviors and Localizing Traces. 1109-1116 - Ana Paula Gomes Ferreira, Thiago Henrique Silva, Antonio Alfredo Ferreira Loureiro:
Beyond Sights: Large Scale Study of Tourists' Behavior Using Foursquare Data. 1117-1124 - Rustam Tagiew, Dmitry I. Ignatov, Radhakrishnan Delhibabu:
Hospitality Exchange Services as a Source of Spatial and Social Data? 1125-1130 - Anna Tigunova, JooYoung Lee, Sadegh Nobari:
Location Prediction via Social Contents and Behaviors: Location-Aware Behavioral LDA. 1131-1135 - Kai Zhao, Mohan Prasath Chinnasamy, Sasu Tarkoma:
Automatic City Region Analysis for Urban Routing. 1136-1142
Optimization Based Techniques for Emerging Data Mining Problems
- Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar:
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. 1143-1152 - Simon Fong, Elisa Gao, Raymond K. Wong:
Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis. 1153-1162 - Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. 1163-1170 - Xin Shen, Lingfeng Niu, Yingjie Tian, Yong Shi:
Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines. 1171-1176 - Yong Shi, Huadong Wang, Lingfeng Niu:
Large-Scale Linear Support Vector Ordinal Regression Solver. 1177-1184 - Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi:
Pedestrian Detection Using Privileged Information. 1185-1188 - Binghui Wang, Risheng Liu, Chuang Lin, Xin Fan:
Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis. 1189-1195
Practical Transfer Learning
- Shuang Ao, Charles X. Ling:
Adapting New Categories for Food Recognition with Deep Representation. 1196-1203 - Yunhui Guo, Xin Wang, Congfu Xu:
CroRank: Cross Domain Personalized Transfer Ranking for Collaborative Filtering. 1204-1212 - Peng Han, Xinxiao Wu:
Incremental Discriminant Learning for Heterogeneous Domain Adaptation. 1213-1220 - Han Wang, Xinxiao Wu:
Finding Event Videos via Image Search Engine. 1221-1228
Representation Learning for Semantic Data
- Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt:
Learning Semantic Similarity for Very Short Texts. 1229-1234 - Zhou Fang, Sheng Gao, Bo Li, Juncen Li, Jianxin Liao:
Cross-Domain Recommendation via Tag Matrix Transfer. 1235-1240 - Juncen Li, Sheng Gao, Ning Han, Zhou Fang, Jianxin Liao:
Music Mood Classification via Deep Belief Network. 1241-1245 - Ji Qi, Yukio Ohsawa:
Matrix Plane Model: A Novel Measure of Word Co-occurrence and Application on Semantic Relatedness. 1246-1253 - Babak Saleh, Ahmed M. Elgammal:
A Unified Framework for Painting Classification. 1254-1261 - Junjie Yan, Yuanyuan Qiao, Jie Yang, Sheng Gao:
Mining Individual Mobile User Behavior on Location and Interests. 1262-1269
Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- Daniel Ansari:
Sentiment Polarity Classification Using Structural Features. 1270-1273 - Mostafa Bayomi, Killian Levacher, M. Rami Ghorab, Séamus Lawless:
OntoSeg: A Novel Approach to Text Segmentation Using Ontological Similarity. 1274-1283 - Zvi Ben-Ami, Ronen Feldman, Benjamin Rosenfeld:
Exploiting the Focus of the Document for Enhanced Entities' Sentiment Relevance Detection. 1284-1293 - Lucas Carstens, Francesca Toni:
Improving Out-of-Domain Sentiment Polarity Classification Using Argumentation. 1294-1301 - Anupam Mondal, Iti Chaturvedi, Dipankar Das, Rajiv Bajpai, Sivaji Bandyopadhyay:
Lexical Resource for Medical Events: A Polarity Based Approach. 1302-1309 - Bin Tong, Hiroaki Ozaki, Makoto Iwayama, Yoshiyuki Kobayashi, Anshuman Sahu, Ravigopal Vennelakanti:
Production Estimation for Shale Wells with Sentiment-Based Features from Geology Reports. 1310-1317 - Yun Wan, Qigang Gao:
An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis. 1318-1325 - Aleksander Wawer:
Towards Domain-Independent Opinion Target Extraction. 1326-1331
Social Media Retrieval and Analysis
- Paulo Rodrigo Cavalin, Luis Gregorio Moyano, Pedro P. Miranda:
A Multiple Classifier System for Classifying Life Events on Social Media. 1332-1335 - Kuan-Hsi Chen, Zih-Yun Ting, Jia-Ying Shen, Yuh-Jyh Hu, Tyne Liang:
A Two-Stage Learning Method for Response Prediction. 1336-1341 - Yagmur Gizem Cinar, Susana Zoghbi, Marie-Francine Moens:
Inferring User Interests on Social Media from Text and Images. 1342-1347 - Mochamad Ibrahim, Omar Abdillah, Alfan Farizki Wicaksono, Mirna Adriani:
Buzzer Detection and Sentiment Analysis for Predicting Presidential Election Results in a Twitter Nation. 1348-1353 - Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin:
OLLDA: A Supervised and Dynamic Topic Mining Framework in Twitter. 1354-1359 - Martin Pichl, Eva Zangerle, Günther Specht:
Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name? 1360-1365 - Markus Schedl:
Towards Personalizing Classical Music Recommendations. 1366-1367 - Ge Zhou, Lu Yu, Chu-Xu Zhang, Chuang Liu, Zi-Ke Zhang, Jianlin Zhang:
A Novel Approach for Generating Personalized Mention List on Micro-Blogging System. 1368-1374
Social Multimedia Data Mining
- Nathan Fabian, Warren Davis, Elaine M. Raybourn, Kiran Lakkaraju, Jonathan Whetzel:
Grandmaster: Interactive Text-Based Analytics of Social Media. 1375-1381 - Tianran Hu, Jiebo Luo, Henry A. Kautz, Adam Sadilek:
Home Location Inference from Sparse and Noisy Data: Models and Applications. 1382-1387 - Saurabh Kataria, Arvind Agarwal:
Distributed Representations for Content-Based and Personalized Tag Recommendation. 1388-1395 - Rupert Lemahieu, Steven Van Canneyt, Cedric De Boom, Bart Dhoedt:
Optimizing the Popularity of Twitter Messages through User Categories. 1396-1401 - Arpit Mishra, Ankit Malviya, Sanchit Aggarwal:
Towards Automatic Pharmacovigilance: Analysing Patient Reviews and Sentiment on Oncological Drugs. 1402-1409 - Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin:
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. 1410-1416
Spatial and Spatio-Temporal Data Mining
- Shin Ando, Yutaro Suka:
Classification of Temporal and Sequential Data Using Bag-of-Subsequences Features. 1417-1424 - Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl:
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. 1425-1432 - Kevin Bouchard, Dany Fortin-Simard, Jeremy Lapalu, Sébastien Gaboury, Abdenour Bouzouane, Bruno Bouchard:
Unsupervised Spatial Data Mining for Smart Homes. 1433-1440 - Jie Ding, Mohammad Noshad, Vahid Tarokh:
Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics. 1441-1446 - Emre Eftelioglu, Xun Tang, Shashi Shekhar:
Geographically Robust Hotspot Detection: A Summary of Results. 1447-1456 - Rie Honda, Keita Mori:
Extraction of Highly Correlated Temporal Event Cluster Recurrence from Spatiotemporal Data. 1457-1461 - Piraporn Jangyodsuk, Dong-Jun Seo, Ramez Elmasri, Jean Gao:
Flood Prediction and Mining Influential Spatial Features on Future Flood with Causal Discovery. 1462-1469 - Yuri Kalnishkan, Dmitry Adamskiy, Alexey V. Chernov, Tim Scarfe:
Specialist Experts for Prediction with Side Information. 1470-1477 - Jitendra Kumar, Jon Weiner, William W. Hargrove, Steven P. Norman, Forrest M. Hoffman, Doug Newcomb:
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR. 1478-1485
PhD Forum
- Manju Bhardwaj, Debasis Dash, Vasudha Bhatnagar:
Accurate Classification of Biological Data Using Ensembles. 1486-1493 - Ivan Brugere:
Latent Graph Inference and Validation. 1494-1495 - Yahui Di:
Prediction of Long-Lead Heavy Precipitation Events Aided by Machine Learning. 1496-1497 - Tri Doan, Jugal Kalita:
Selecting Machine Learning Algorithms Using Regression Models. 1498-1505 - Yanjie Fu, Hui Xiong:
Modeling of Geographic Dependencies for Real Estate Ranking on Site Selection. 1506-1513 - Qiaoying Huang, Xiaofeng Zhang, Kui Jia, Xishuang Han, Yunming Ye:
Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection. 1514-1521 - Zhe Jiang:
Learning Spatial Decision Trees for Land Cover Mapping. 1522-1529 - Anuj Karpatne, Vipin Kumar:
Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics. 1530-1531 - Dennis Kergl:
Enhancing Network Security by Software Vulnerability Detection Using Social Media Analysis Extended Abstract. 1532-1533 - Eileen Kuehn:
Clustering Evolving Batch System Jobs for Online Anomaly Detection. 1534-1535 - Xi C. Chen, Vipin Kumar, James H. Faghmous:
Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. 1536-1537 - Bo Li:
Secure Learning and Mining in Adversarial Environments [Extended Abstract]. 1538-1539 - Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, Jian Wu:
Crowdsourcing Based API Search via Leveraging Twitter Lists Information. 1540-1547 - Henry Z. Lo, Wei Ding:
Understanding Deep Networks with Gradients. 1548-1555 - Fenglong Ma, Jing Gao:
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. 1556-1557 - Chong Wang, Achir Kalra, Cristian Borcea, Yi Chen:
Revenue-Optimized Webpage Recommendation. 1558-1559 - Dawei Wang:
Contrast Pattern Based Methods for Visualizing and Predicting Spatiotemporal Events. 1560-1567 - Feng Wang, Yongquan Zhang, Hang Xiao, Li Kuang, Yi Lai:
Enhancing Stock Price Prediction with a Hybrid Approach Based Extreme Learning Machine. 1568-1575 - Huafeng Wang, Yehe Cai, Yanxiang Zhang, Haixia Pan, Weifeng Lv, Hao Han:
Deep Learning for Image Retrieval: What Works and What Doesn't. 1576-1583 - Yilin Wang, Baoxin Li:
Sentiment Analysis for Social Media Images. 1584-1591 - Guoqing Xiao, Kenli Li, Keqin Li:
Reporting L Most Favorite Objects in Uncertain Databases with Probabilistic Reverse Top-k Queries. 1592-1599 - Houping Xiao, Jing Gao:
Multi-source Information Trustworthiness Analysis. 1600-1601 - Yong Zheng:
Context Suggestion: Solutions and Challenges. 1602-1603
Demos
- Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang:
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. 1604-1607 - Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan:
StreamDM: Advanced Data Mining in Spark Streaming. 1608-1611 - Yanjie Fu, Hui Xiong:
A Discovery System for Finding High-Value Homes. 1612-1615 - Rob J. Hyndman, Earo Wang, Nikolay Laptev:
Large-Scale Unusual Time Series Detection. 1616-1619 - Byungsoo Jeon, Inah Jeon, U Kang:
TeGViz: Distributed Tera-Scale Graph Generation and Visualization. 1620-1623 - Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi:
Near Real-Time Service Monitoring Using High-Dimensional Time Series. 1624-1627 - Cheng Long, Raymond Chi-Wing Wong, Raymond Ka Wai Sze:
Trend-MC: A Melody Composer by Constructing from Frequent Trend-Based Patterns. 1628-1631 - Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu:
Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. 1632-1635 - Lluís Padró, Jordi Turmo:
TextServer: Cloud-Based Multilingual Natural Language Processing. 1636-1639 - Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen:
MERLIN - A Tool for Multi-party Privacy-Preserving Record Linkage. 1640-1643 - Michele Samorani:
Automatically Generate a Flat Mining Table with Dataconda. 1644-1647 - Justin Sampson, Fred Morstatter, Reza Zafarani, Huan Liu:
Real-Time Crisis Mapping Using Language Distribution. 1648-1651 - Yue Su, Sibai Sun, Yuan Xuan, Lei Shi:
Influence Visualization of Scientific Paper through Flow-Based Citation Network Summarization. 1652-1655 - Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger:
UP-Miner: A Utility Pattern Mining Toolbox. 1656-1659 - Chenhao Xie, Deqing Yang, Jingrui He, Yanghua Xiao:
Cross-Site Virtual Social Network Construction. 1660-1663 - Yuchen Zhao, Arjun Iyer, Ariel Smoliar:
Discovering Anomalies and Root Causes in Applications via Relevant Fields Analysis. 1664-1667 - Yong Zheng, Bamshad Mobasher, Robin D. Burke:
CARSKit: A Java-Based Context-Aware Recommendation Engine. 1668-1671 - Tetiana Zinchenko, Esther Galbrun, Pauli Miettinen:
Mining Predictive Redescriptions with Trees. 1672-1675
ICDM Contest
- Thakur Raj Anand, Oleksii Renov:
Machine Learning Approach to Identify Users Across Their Digital Devices. 1676-1680 - Xuezhi Cao, Weiyue Huang, Yong Yu:
Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning. 1681-1686 - Girma Kejela, Chunming Rong:
Cross-Device Consumer Identification. 1687-1689 - Michael Sungjun Kim, Jiwei Liu, Xiaozhou Wang, Wei Yang:
Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting. 1690-1694 - Mark Landry, Sudalai Rajkumar S, Robert Chong:
Multi-layer Classification: ICDM 2015 Drawbridge Cross-Device Connections Competition. 1695-1698 - Roberto Díaz-Morales:
Cross-Device Tracking: Matching Devices and Cookies. 1699-1704 - Lars Ropeid Selsaas, Bikash Agrawal, Chunming Rong, Tomasz Wiktorski:
AFFM: Auto Feature Engineering in Field-Aware Factorization Machines for Predictive Analytics. 1705-1709 - Jeremy Walthers:
Learning to Rank for Cross-Device Identification. 1710-1712
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