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ORCID17th ICDM 2017: New Orleans, LA, USA - Workshops
- Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu:
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-3800-2
DSBDA - Data Science and Big Data Analytics
- Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya
:
Intent-Aware Contextual Recommendation System. 1-8 - Anand Gupta, Hardeo Kumar Thakur, Ritvik Shrivastava, Pulkit Kumar, Sreyashi Nag:
A Big Data Analysis Framework Using Apache Spark and Deep Learning. 9-16 - Yuuki Kikuchi, Masahito Kumano, Masahiro Kimura:
Analyzing Dynamical Activities of Co-occurrence Patterns for Cooking Ingredients. 17-24 - Ruizhe Ma, Rafal A. Angryk:
Distance and Density Clustering for Time Series Data. 25-32 - Leland McInnes, John Healy:
Accelerated Hierarchical Density Based Clustering. 33-42 - Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov:
Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore. 43-50 - Jaishree Ranganathan, Allen S. Irudayaraj, Angelina A. Tzacheva:
Action Rules for Sentiment Analysis on Twitter Data Using Spark. 51-60 - J. T. Rigsby, Daniel Barbará:
Automated Storytelling Evaluation and Story Chain Generation. 61-68 - Bernhard Schlegel, Bernhard Sick:
Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity. 69-78 - Yujin Tang, Shinya Wada, Kiyohito Yoshihara:
Failure Prediction with Adaptive Multi-scale Sampling and Activation Pattern Regularization. 79-86 - Angelina A. Tzacheva, Arunkumar Bagavathi, Lavanya Ayila:
Discovery of Action Rules at Lowest Cost in Spark. 87-94 - Datong Paul Zhou, Maximilian Balandat, Claire Jennifer Tomlin:
Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data. 95-102 - Lingxue Zhu, Nikolay Laptev:
Deep and Confident Prediction for Time Series at Uber. 103-110
DaMNet - Data Mining in Networks
- Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash:
Distributed Representations of Subgraphs. 111-117 - Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf:
Network Model Selection for Task-Focused Attributed Network Inference. 118-125 - Charalampos Chelmis, Daphney-Stavroula Zois, Mengfan Yao:
Mining Patterns of Cyberbullying on Twitter. 126-133 - Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen:
Principled Multilayer Network Embedding. 134-141 - Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
HUBify: Efficient Estimation of Central Entities Across Multiplex Layer Compositions. 142-149 - Shohei Umehara, Koji Eguchi:
Predicting Users' Search Behavior Using Stochastic Multi-mode Network Models. 150-155 - Chao Zhao, Min Zhao, Yi Guan:
Constructing a Hierarchical User Interest Structure Based on User Profiles. 156-162 - Xianglin Zuo, Bo Yang, Wanli Zuo:
Exploring Uncertainty Methods for Centrality Analysis in Social Networks. 163-169
DSHCM - Data Science for Human Capital Management
- Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Skold:
Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level. 170-176 - Hunter Burk, Faizan Javed, Janani Balaji:
Apollo: Near-Duplicate Detection for Job Ads in the Online Recruitment Domain. 177-182 - Mahak Goindani, Qiaoling Liu, Josh Chao, Valentin Jijkoun:
Employer Industry Classification Using Job Postings. 183-188 - Christopher G. Harris:
Finding the Best Job Applicants for a Job Posting: A Comparison of Human Resources Search Strategies. 189-194 - Summer M. Husband, Jason Roberts:
Survival Random Forest to Predict Time to Fill. 195-198 - Rohit Muthyala, Sam Wood, Yi Jin, Yixing Qin, Hua Gao, Amit Rai:
Data-Driven Job Search Engine Using Skills and Company Attribute Filters. 199-206 - Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
On Analyzing Job Hop Behavior and Talent Flow Networks. 207-214 - Layla Pournajaf, Khalifeh AlJadda, Mohammed Korayem:
Long Tail Query Enrichment for Semantic Job Search. 215-220 - Rajiv Srivastava, Girish Keshav Palshikar, Saheb Chourasia:
What's Next? A Recommendation System for Industrial Training. 221-228 - Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston, Rachel Rosenfeld:
Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources. 229-236 - Manisha Verma, Nathan Francis:
On Utility of Temporal Embeddings in Skill Matching. 237-241
SSTDM - Spatial and Spatiotemporal Data Mining
- Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Keyboard Streams: Towards Effective and Continuous Authentication. 242-249 - Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Top-(R%, K) Spatiotemporal Event Sequence Mining. 250-257 - Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte:
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. 258-265 - Fatima Hachem, Maria Luisa Damiani, Hamza Issa:
Discovering Gatherings Based on Individual Mobility Patterns: Challenges and Direction. 266-273 - Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk:
Cultivating Evolving Region Trajectory Datasets. 274-279 - Leonardo Sarti, Luca Bravi, Francesco Sambo, Leonardo Taccari, Matteo Simoncini, Samuele Salti, Alessandro Lori:
Stop Purpose Classification from GPS Data of Commercial Vehicle Fleets. 280-287 - Wenyu Zhang, Nicholas A. James, David S. Matteson:
Pruning and Nonparametric Multiple Change Point Detection. 288-295
DMESS - Data Mining in Earth System Science
- Bjørn-Gustaf J. Brooks, Danny C. Lee, Lars Y. Pomara, William W. Hargrove, Ankur R. Desai:
Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package. 296-302 - Xinbo Huang, David Sathiaraj, Lei Wang, Barry Keim:
Deriving Data-Driven Insights from Climate Extreme Indices for the Continental US. 303-312 - Sookyung Kim, Sasha Ames, Jiwoo Lee, Chengzhu Zhang, Aaron C. Wilson, Dean Williams:
Resolution Reconstruction of Climate Data with Pixel Recursive Model. 313-321 - Zachary L. Langford, Jitendra Kumar, Forrest M. Hoffman:
Convolutional Neural Network Approach for Mapping Arctic Vegetation Using Multi-Sensor Remote Sensing Fusion. 322-331 - Soukayna Mouatadid, Steve Easterbrook, Andre R. Erler:
A Machine Learning Approach to Non-uniform Spatial Downscaling of Climate Variables. 332-341
SENTIRE - Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
- Reda Al-Bahrani, Margaret K. Danilovich, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal:
Analyzing Informal Caregiving Expression in Social Media. 342-349 - Nasser Alsadhan, David B. Skillicorn:
Estimating Personality from Social Media Posts. 350-356 - Ruihua Cheng, Ji Meng Loh:
Learning-Based Method with Valence Shifters for Sentiment Analysis. 357-364 - Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik:
Twitter Stance Detection - A Subjectivity and Sentiment Polarity Inspired Two-Phase Approach. 365-372 - Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. 373-380 - Guoning Hu, Preeti Bhargava, Saul Fuhrmann, Sarah Ellinger, Nemanja Spasojevic:
Analyzing Users' Sentiment Towards Popular Consumer Industries and Brands on Twitter. 381-388 - Ali Bugra Kanburoglu, Ercan Solak:
An Experimental Evaluation of Prior Polarities in Sentiment Lexicons. 389-392 - Aparup Khatua, Erik Cambria, Apalak Khatua, Iti Chaturvedi:
Let's Chat about Brexit! A Politically-Sensitive Dialog System Based on Twitter Data. 393-398 - Hardik Meisheri, Kunal Ranjan, Lipika Dey:
Sentiment Extraction from Consumer-Generated Noisy Short Texts. 399-406 - Ranjan Satapathy, Claudia Guerreiro, Iti Chaturvedi, Erik Cambria:
Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis. 407-413 - Shuntaro Yada, Kazushi Ikeda, Keiichiro Hoashi, Kyo Kageura:
A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. 414-421 - Yue Wang, Hongning Wang, Hui Fang:
Extracting User-Reported Mobile Application Defects from Online Reviews. 422-429
DMBIH - Data Mining in Biomedical Informatics and Healthcare
- Ruichu Cai, Binjun Zhu, Lei Ji, Tianyong Hao, Jun Yan, Wenyin Liu:
An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities. 430-437 - Shuhong Chen, Sen Yang, Moliang Zhou, Randall S. Burd, Ivan Marsic:
Process-Oriented Iterative Multiple Alignment for Medical Process Mining. 438-445 - Samah J. Fodeh, Aditya Tiwari, Hong Yu:
Exploiting PubMed for Protein Molecular Function Prediction via NMF Based Multi-label Classification. 446-451 - Reilly Grant, David Kucher, Ana M. Leon, Jonathan Gemmell, Daniela Raicu:
Discovery of Informal Topics from Post Traumatic Stress Disorder Forums. 452-461 - A. K. M. Tauhidul Islam, Sakti Pramanik, Vahid Mirjalili, Shamik Sural:
RESTRAC: REference Sequence Based Space TRAnsformation for Clustering. 462-469 - Arpit Mishra, Abhishek Gupta, Umesh Maheswari, Laeeq Siddique:
Probable Biomarker Identification Using Recursive Feature Extraction and Network Analysis. 470-477 - Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski:
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. 478-485 - Aaqib Saeed, Stojan Trajanovski, Maurice van Keulen, Jan B. F. van Erp:
Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors. 486-493 - Hyun Ah Song, Fan Yang, Zongge Liu, Wilbert Van Panhuis, Nicholas D. Sidiropoulos, Christos Faloutsos, Vladimir Zadorozhny:
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. 494-501 - Yiming Zhang, Yujie Fan, Yanfang Ye, Xin Li, Wanhong Zheng:
Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT. 502-509
HDM - High Dimensional Data Mining
- Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. 510-517 - Amir Karami:
Taming Wild High Dimensional Text Data with a Fuzzy Lash. 518-522 - Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich:
High-Dimensional Density Estimation for Data Mining Tasks. 523-530 - Youzuo Lin:
Multiple Queries of Information Retrieval Using Krylov Subspace Method. 531-538 - Yu Qian, Eduard Vazquez, Biswa Sengupta:
Differential Geometric Retrieval of Deep Features. 539-544 - Dixon Vimalajeewa, Donagh Berry, Eric Robson, Chamil Kulatunga:
Evaluation of Non-linearity in MIR Spectroscopic Data for Compressed Learning. 545-552 - Andong Wang, Zhong Jin:
Near-Optimal Noisy Low-Tubal-Rank Tensor Completion via Singular Tube Thresholding. 553-560 - Michael Wojnowicz, Dinh Nguyen, Li Li, Xuan Zhao:
Lazy Stochastic Principal Component Analysis. 561-568 - Miaomiao Zhang, Dechang Pi:
A Novel Method for Fast and Accurate Similarity Measure in Time Series Field. 569-576
MoDat - Market of Data: Creating tools, data, and sensors from the Social Intelligence
- Teruaki Hayashi, Yukio Ohsawa:
VARIABLE QUEST: Network Visualization of Variable Labels Unifying Co-occurrence Graphs. 577-583 - Nami Iino, Satoshi Nishimura, Ken Fukuda, Kentaro Watanabe, Kristiina Jokinen, Takuichi Nishimura:
Development and Use of an Activity Model Based on Structured Knowledge: A Music Teaching Support System. 584-589 - Noriyuki Kushiro, Yuji Fujita, Yusuke Aoyama:
Extracting Field Oversees' Features in Risk Recognition from Data of Eyes and Utterances. 590-596 - Naohiro Matsumura:
Familiarity and Strangeness of Objects: A MoDAT Requirement for Shikake Design. 597-598 - Qi Wang:
Semantic Visualization Support for Innovators Marketplace on Data Jackets. 599-604
DMS - Data Mining for Service
- Pierre-Yves Donze, Ken Ishibashi, Bo Wu, Yuta Kaneko, Kei Miyazaki, Keiji Takai:
Global Distribution of Watches: A Network Analysis of Trade Relations. 605-611 - Shoji Hirano, Shusaku Tsumoto:
Frequent Temporal Pattern Mining for Medical Data Based on Ranged Relations. 612-616 - Eisuke Kita, Xuanang Feng, Hiroki Shimokubo:
Personal Identification by Pedestrians Behavior. 617-624 - Rodrigo Rivera, Evgeny Burnaev:
Forecasting of Commercial Sales with Large Scale Gaussian Processes. 625-634 - Felipe Vera, Víctor D. Cortés, Gabriel Iturrra, Juan D. Velásquez, Pedro Maldonado, Andrés Couve:
Akori: A Tool Based in Eye-Tracking Techniques for Analyzing Web User Behaviour on a Web Site. 635-640 - Anni Zhou, Yinan Feng, Pan Zhou, Jie Xu:
Social Intimacy Based IoT Services Mining of Massive Data. 641-648
DMCS - Data Mining for Cyber Security
- Daniel Fraunholz, Marc Zimmermann, Alexander Hafner, Hans D. Schotten:
Data Mining in Long-Term Honeypot Data. 649-656 - Markus Ring, Alexander Dallmann, Dieter Landes, Andreas Hotho:
IP2Vec: Learning Similarities Between IP Addresses. 657-666 - Anna Sapienza, Alessandro Bessi, Saranya Damodaran, Paulo Shakarian, Kristina Lerman, Emilio Ferrara:
Early Warnings of Cyber Threats in Online Discussions. 667-674 - Zhao Yang, Nathalie Japkowicz:
Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks. 675-682 - Bin Yu, Daniel L. Gray, Jie Pan, Martine De Cock, Anderson C. A. Nascimento:
Inline DGA Detection with Deep Networks. 683-692
ARIAL - Data mining for Aging, Rehabilitation and Assisted Living
- Belkacem Chikhaoui, Frank Gouineau:
Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach. 693-702 - Shehroz S. Khan, Tong Zhu, Bing Ye, Alex Mihailidis, Andrea Iaboni, Kristine Newman, Angel He Wang, Lori Schindel Martin:
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network. 703-710 - Frank Krüger, Sebastian Bader, Albert Hein, Thomas Kirste:
A Virtual Research Environment to Support Remote Behaviour Monitoring from Data Collection to Analysis. 711-718 - Nicklas Linz, Johannes Tröger, Jan Alexandersson, Maria Wolters, Alexandra König, Philippe H. Robert:
Predicting Dementia Screening and Staging Scores from Semantic Verbal Fluency Performance. 719-728 - Christian Nordahl, Marie Persson, Håkan Grahn:
Detection of Residents' Abnormal Behaviour by Analysing Energy Consumption of Individual Households. 729-738 - Tossapol Pomsuwan, Alex Alves Freitas:
Feature Selection for the Classification of Longitudinal Human Ageing Data. 739-746
SERecSys - Semantics-Enabled Recommender Systems
- Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach, Fabien Rico, Djamel A. Zighed:
Semantic Search-by-Examples for Scientific Topic Corpus Expansion in Digital Libraries. 747-756 - Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma:
Leveraging Moderate User Data for News Recommendation. 757-760 - Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma:
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. 761-764 - Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
User Profiling Based Deep Neural Network for Temporal News Recommendation. 765-772 - Kuan Liu, Xing Shi, Prem Natarajan:
Sequential Heterogeneous Attribute Embedding for Item Recommendation. 773-780 - Xiaotong Suo, Fang Wei, Ke Yu:
Entity Recommendation Via Integrating Multiple Types of Implicit Feedback in Heterogeneous Information Network. 781-786
ISI - Intelligence and Security Informatics
- Ramiro Daniel Camino, Radu State, Leandro Montero, Petko Valtchev:
Finding Suspicious Activities in Financial Transactions and Distributed Ledgers. 787-796 - Qiaona Hu, Baoming Tang, Derek Lin:
Anomalous User Activity Detection in Enterprise Multi-source Logs. 797-803 - Baoming Tang, Qiaona Hu, Derek Lin:
Reducing False Positives of User-to-Entity First-Access Alerts for User Behavior Analytics. 804-811
OEDM - Optimization Based Techniques for Emerging Data Mining
- Qiao Kang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation. 812-817 - Lin Lai, Chang Li, Wen Long:
A New Method for Stock Price Prediction Based on MRFs and SSVM. 818-823 - Jianyu Miao, Yong Shi, Lingfeng Niu:
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. 824-829 - Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg:
A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. 830-833
DMIP - Data Mining in Practice: Automation and Cost
- Stephen C. Adams, Ryan Meekins, Peter A. Beling:
An Empirical Evaluation of Techniques for Feature Selection with Cost. 834-841 - Arin Chaudhuri, Deovrat Kakde, Carol Sadek, Laura Gonzalez, Seunghyun Kong:
The Mean and Median Criteria for Kernel Bandwidth Selection for Support Vector Data Description. 842-849 - Xu Chen, Tao Wang:
Combining Active Learning and Semi-Supervised Learning by Using Selective Label Spreading. 850-857 - Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye:
Robust Self-Tuning Sparse Subspace Clustering. 858-865
DMiP - Data Mining in Politics
- Rodrigo D. Castro, Carmen Vaca:
National Leaders' Twitter Speech to Infer Political Leaning and Election Results in 2015 Venezuelan Parliamentary Elections. 866-871 - Anna Guimarães, Liqiang Wang, Gerhard Weikum:
Us and Them: Adversarial Politics on Twitter. 872-877 - Selvas Mwanza, Hussein Suleman:
Measuring Network Structure Metrics as a Proxy for Socio-Political Activity in Social Media. 878-883 - Allaparthi Sriteja, Prakhar Pandey, Vikram Pudi:
Controversy Detection Using Reactions on Social Media. 884-889
DAPS - Data Mining for the Analysis of Performance and Success
- Alessio Rossi, Enrico Perri, Athos Trecroci, Marco Savino, Giampietro Alberti, Marcello Fedon Iaia:
GPS Data Reflect Players' Internal Load in Soccer. 890-893 - Adrià Arbués Sangüesa, Thomas B. Moeslund, Chris H. Bahnsen, Raul Benitez Iglesias:
Identifying Basketball Plays from Sensor Data; Towards a Low-Cost Automatic Extraction of Advanced Statistics. 894-901 - Anna Sapienza, Hao Peng, Emilio Ferrara:
Performance Dynamics and Success in Online Games. 902-909
BDDSR - Workshop on Big Data & Data Science in Retail
- Parham Aarabi:
Mobile E-Commerce Data Processing Using Relational Memory. 910-915 - Li Li, Sarah M. Erfani, Christopher Leckie:
A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. 916-923 - Piotr Przymus, Youssef Hmamouche, Alain Casali, Lotfi Lakhal:
Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs. 924-931
D3M - Data-driven Discovery of Models
- Karan Kumar Budhraja, Tim Oates:
Dataset Selection for Controlling Swarms by Visual Demonstration. 932-941 - Ishanu Chattopadhyay:
Discrimination at the Edge of Noise: A Hilbert Space of Stationary Ergodic Processes. 942-948 - Jialin Dong, Kai Yang, Yuanming Shi:
Ranking from Crowdsourced Pairwise Comparisons via Smoothed Matrix Manifold Optimization. 949-956 - Rauf Izmailov, Blerta Lindqvist, Peter Lin:
Feature Selection in Learning Using Privileged Information. 957-963 - Keith D. Levin, Avanti Athreya, Minh Tang, Vince Lyzinski, Carey E. Priebe:
A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs. 964-967
HPGDML - High Performance Graph Data Mining and Machine Learning Workshop
- Leman Akoglu:
Online Detection of Anomalous Heterogeneous Graphs with Streaming Edges. 968 - Miyuru Dayarathna:
High Performance Graph Data Management and Mining with X10. 977 - Danai Koutra:
Inferring, Summarizing and Mining Multi-source Graph Data. 978 - Robyn L. Miller, Bryan A. Moore, Hari S. Viswanathan, Gowri Srinivasan:
Image Analysis Using Convolutional Neural Networks for Modeling 2D Fracture Propagation. 979-982 - Hanghang Tong:
Inside the Atoms: Mining a Network of Networks and Beyond. 983
PAIS - Privacy and Anonymity in the Information Society
- Aida Calvino, Palmira Aldeguer, Josep Domingo-Ferrer:
Factor Analysis for Anonymization. 984-991 - Alfredo Cuzzocrea:
Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions. 992-994 - Josep Domingo-Ferrer, Jordi Soria-Comas:
Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams. 995-1002 - Takuma Nakagawa, Hiromi Arai, Hiroshi Nakagawa:
Personalized Anonymization for Set-Valued Data by Partial Suppression. 1003-1010 - Ata Turk, Mayank Varia, Georgios Kellaris:
Revealing the Unseen: How to Expose Cloud Usage While Protecting User Privacy. 1011-1016
ACUMEN - Data Science for Human Performance in Social Networks
- Ehsan Mohammady Ardehaly, Aron Culotta:
Co-Training for Demographic Classification Using Deep Learning from Label Proportions. 1017-1024 - Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik, L. Venkata Subramaniam:
EmTaggeR: A Word Embedding Based Novel Method for Hashtag Recommendation on Twitter. 1025-1032 - Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
Discovering Cooperative Structure Among Online Items for Attention Dynamics. 1033-1041 - Rohit Saxena, Savita Bhat, Niranjan Pedanekar:
Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts. 1042-1049 - Zhao Wang, Jennifer Cutler, Aron Culotta:
Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging. 1050-1057
DMCIS - Data Mining for Cyberphysical and Industrial Systems
- Jun Inoue, Yoriyuki Yamagata, Yuqi Chen, Christopher M. Poskitt, Jun Sun:
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning. 1058-1065 - Mohsin Munir, Steffen Erkel, Andreas Dengel, Sheraz Ahmed:
Pattern-Based Contextual Anomaly Detection in HVAC Systems. 1066-1073 - Joshua Plasse, Jordan Noble, Kary L. Myers:
An Adaptive Modeling Framework for Bivariate Data Streams with Applications to Change Detection in Cyber-Physical Systems. 1074-1081 - Pengyuan Wang, Manimaran Govindarasu, Aditya Ashok, Siddharth Sridhar, David McKinnon:
Data-Driven Anomaly Detection for Power System Generation Control. 1082-1089
PhD Forum
- Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant:
Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach. 1090-1099 - Zhengping Che, Yan Liu:
Deep Learning Solutions to Computational Phenotyping in Health Care. 1100-1109 - Yuyue Chen, Chuanren Liu:
Aggregation and Disaggregation of Information: A Holistic View. 1110-1111 - Daniel Pérez Ibañez, Jiang Li, Yuzhong Shen, Joan Dayanghirang, Shengli Wang, Zezhong Zheng:
Deep Learning for Pulmonary Nodule CT Image Retrieval - An Online Assistance System for Novice Radiologists. 1112-1121 - Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita:
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. 1122-1131 - Liangyue Li, Hanghang Tong:
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. 1132-1133 - Thoai Man Luu, Robert Phan, Rachel Davey, Girija Chetty:
A Multilevel NER Framework for Automatic Clinical Name Entity Recognition. 1134-1143 - Yao Ma, Suhang Wang, Jiliang Tang:
Network Embedding with Centrality Information. 1144-1145 - Zhiwei Wang, Jiliang Tang:
Predicting Weight Loss with Enemble Methods. 1146-1147 - Wangcheng Yan, Wenjun Zhou, Paolo Letizia, Bogdan C. Bichescu:
Crowdsourcing Data Science for Innovation. 1148-1157 - Xiangyu Zhao, Jiliang Tang:
Exploring Transfer Learning for Crime Prediction. 1158-1159
Demo Session
- Yewang Chen, Jai Puneet Singh, Lida Zhou, Nizar Bouguila:
FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree. 1160-1165 - Syed Gillani, Abderrahmen Kammoun, Kamal Singh, Julien Subercaze, Christophe Gravier, Jacques Fayolle, Frédérique Laforest:
Pi-CEP: Predictive Complex Event Processing Using Range Queries over Historical Pattern Space. 1166-1171 - Minh N. B. Nguyen, Zaki Hasnain, Ming Li, Tanya Dorff, David Quinn, Sanjay Purushotham, Luciano Nocera, Paul K. Newton, Peter Kuhn, Jorge Nieva, Cyrus Shahabi:
Mining Human Mobility to Quantify Performance Status. 1172-1177 - Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas:
TweeLoc: A System for Geolocalizing Tweets at Fine-Grain. 1178-1183 - Michael T. Lash, Qihang Lin, W. Nick Street, Jennifer G. Robinson:
A Budget-Constrained Inverse Classification Framework for Smooth Classifiers. 1184-1193
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