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ORCIDDSAA 2016: Montreal, QC, Canada
- 2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016, Montreal, QC, Canada, October 17-19, 2016. IEEE 2016, ISBN 978-1-5090-5206-6
Main Conference Papers
Classification
- Lorne Swersky, Henrique O. Marques
, Jörg Sander, Ricardo J. G. B. Campello, Arthur Zimek:
On the Evaluation of Outlier Detection and One-Class Classification Methods. 1-10 - Antonio J. L. Batista, Ricardo J. G. B. Campello, Jörg Sander:
Active Semi-Supervised Classification Based on Multiple Clustering Hierarchies. 11-20 - Anna Leontjeva, Ilya Kuzovkin:
Combining Static and Dynamic Features for Multivariate Sequence Classification. 21-30 - Joshua R. King, Luke K. McDowell:
Correcting Relational Bias to Improve Classification in Sparsely-Labeled Networks. 31-40 - Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme:
Hyperparameter Optimization Machines. 41-50
Networks
- Yoshitaro Yonamoto, Kai Morino, Kenji Yamanishi:
Temporal Network Change Detection Using Network Centralities. 51-60 - Sergei Ivanov, Panagiotis Karras:
Harvester: Influence Optimization in Symmetric Interaction Networks. 61-70 - Benjamin W. K. Hung, Anura P. Jayasumana, Vidarshana W. Bandara:
Pattern Matching Trajectories for Investigative Graph Searches. 71-79 - Mostafa Haghir Chehreghani:
A Framework for Description and Analysis of Sampling-Based Approximate Triangle Counting Algorithms. 80-89 - Grigorios Loukides, Robert Gwadera:
Limiting the Diffusion of Information by a Selective PageRank-Preserving Approach. 90-99
Anonymity, Fraud, and Privacy
- Ding-Geng Din Chen, Xinguang Jim Chen, Kai Zhang:
An Exploratory Statistical Cusp Catastrophe Model. 100-109 - Yongkai Wu, Xintao Wu:
Using Loglinear Model for Discrimination Discovery and Prevention. 110-119 - Bernat Coma-Puig, Josep Carmona, Ricard Gavaldà, Santiago Alcoverro, Victor Martin:
Fraud Detection in Energy Consumption: A Supervised Approach. 120-129 - Adrian Taylor, Sylvain P. Leblanc, Nathalie Japkowicz:
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. 130-139 - Marie Douriez, Harish Doraiswamy, Juliana Freire, Cláudio T. Silva:
Anonymizing NYC Taxi Data: Does It Matter? 140-148
High-Dimensional data
- Ola Amayri, Nizar Bouguila:
Infinite Langevin Mixture Modeling and Feature Selection. 149-155 - David C. Anastasiu, George Karypis:
Efficient Identification of Tanimoto Nearest Neighbors. 156-165 - Jun-Kun Wang, Shou-De Lin:
Parallel Least-Squares Policy Iteration. 166-173 - Piyush Kumar Sharma, Gary Holness:
Dilation of Chisini-Jensen-Shannon Divergence. 174-183 - Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff:
Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections. 184-193
Social Media and Crowd
- Sihem Amer-Yahia, Éric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama:
Task Composition in Crowdsourcing. 194-203 - Soumajit Pramanik, Qinna Wang, Maximilien Danisch, Sumanth Bandi, Anand Kumar, Jean-Loup Guillaume, Bivas Mitra:
On the Role of Mentions on Tweet Virality. 204-213 - Patrick Breen, Jane Kelly, Timothy Heckman, Shannon Quinn:
Mining Pre-Exposure Prophylaxis Trends in Social Media. 214-221 - Yifang Wei, Lisa Singh, Brian Gallagher, David Buttler:
Overlapping Target Event and Story Line Detection of Online Newspaper Articles. 222-232 - Vincent Etter, Mohammad Emtiyaz Khan, Matthias Grossglauser, Patrick Thiran:
Online Collaborative Prediction of Regional Vote Results. 233-242
Temporal Analytics
- Alex Deng, Jiannan Lu, Shouyuan Chen:
Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing. 243-252 - Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran:
Learning Temporal Dependence from Time-Series Data with Latent Variables. 253-262 - Paresh Nakhe, Rebecca Reiffenhäuser:
Trend Detection Based Regret Minimization for Bandit Problems. 263-271 - Bingjie Wei, Helen Pinto, Xin Wang:
A Symbolic Tree Model for Oil and Gas Production Prediction Using Time-Series Production Data. 272-281 - Nuno Moniz, Paula Branco, Luís Torgo:
Resampling Strategies for Imbalanced Time Series. 282-291
Scale
- Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim:
Performance Improvement of MapReduce Process by Promoting Deep Data Locality. 292-301 - Qiang Zhang, Andy He, Chris Liu, Eric Lo:
Closest Interval Join Using MapReduce. 302-311 - Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic:
EM*: An EM Algorithm for Big Data. 312-320 - Jun-Kun Wang, Shou-De Lin:
Efficient Sampling-Based ADMM for Distributed Data. 321-330 - Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal:
A Parallel Framework for Grid-Based Bottom-Up Subspace Clustering. 331-340
Search and Mining
- Massimo Melucci:
Impact of Query Sample Selection Bias on Information Retrieval System Ranking. 341-350 - Chanakya Aalla, Vikram Pudi:
Mining Research Problems from Scientific Literature. 351-360 - Amit Shavit, Sameena Shah:
Perceived, Projected, and True Investment Expertise: Not All Experts Provide Expert Recommendations. 361-369 - Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Ana González-Marcos:
A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data. 370-378
Relational and Structured Data
- Azad Naik, Huzefa Rangwala:
Inconsistent Node Flattening for Improving Top-Down Hierarchical Classification. 379-388 - Nguyen Thanh Binh, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung:
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. 389-398 - Neha Patki, Roy Wedge, Kalyan Veeramachaneni:
The Synthetic Data Vault. 399-410 - Xiangfu Meng, Xiaoyan Zhang, Jinguang Sun, Lin Li, Changzheng Xing, Chongchun Bi:
A Decision Tree-Based Approach for Categorizing Spatial Database Query Results. 411-419 - Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith:
The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain. 420-429
Predictive Analytics
- James Max Kanter, Owen Gillespie, Kalyan Veeramachaneni:
Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering. 430-439 - Benjamin Schreck, Kalyan Veeramachaneni:
What Would a Data Scientist Ask? Automatically Formulating and Solving Predictive Problems. 440-451 - Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Detecting Inaccurate Predictions of Pediatric Surgical Durations. 452-457 - Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. 458-467 - Mansurul Bhuiyan, Mohammad Al Hasan:
Waiting to Be Sold: Prediction of Time-Dependent House Selling Probability. 468-477
Business Intelligence
- Yegor Tkachenko, Mykel J. Kochenderfer, Krzysztof Kluza:
Customer Simulation for Direct Marketing Experiments. 478-487 - Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir, Jun Han:
Behavior-Oriented Time Segmentation for Mining Individualized Rules of Mobile Phone Users. 488-497 - Zhenyu Zhao, Miao Chen, Don Matheson, Maria Stone:
Online Experimentation Diagnosis and Troubleshooting Beyond AA Validation. 498-507 - Girish Keshav Palshikar, Sachin Pawar, Nitin Ramrakhiyani:
Role Models: Mining Role Transitions Data in IT Project Management. 508-517 - Cheryl J. Flynn, Kenneth E. Shirley, Wei Wang:
Deconstructing Domain Names to Reveal Latent Topics. 518-527
E-Commerce
- Daniel Austin, Sam Seljan, Julius Monello, Stephanie Tzeng:
Reserve Price Optimization at Scale. 528-536 - Damiano Di Francesco Maesa, Andrea Marino, Laura Ricci:
Uncovering the Bitcoin Blockchain: An Analysis of the Full Users Graph. 537-546 - Martin Kirchgessner, Vincent Leroy, Sihem Amer-Yahia, Shashwat Mishra:
Testing Interestingness Measures in Practice: A Large-Scale Analysis of Buying Patterns. 547-556
Special Sessions Papers
Big Behavioral Data Analytics
- Chul Sung, Bo Zhang, Chunhui Y. Higgins, Yoonsuck Choe:
Data-Driven Sales Leads Prediction for Everything-as-a-Service in the Cloud. 557-563 - Africa Perianez, Alain Saas, Anna Guitart, Colin Magne:
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles. 564-573 - Akihiro Demachi, Shin Matsushima, Kenji Yamanishi:
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization. 574-583 - Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, Jun Han:
Evidence-Based Behavioral Model for Calendar Schedules of Individual Mobile Phone Users. 584-593
Data Science for Agricultural Decision Support Systems
- Aditya Parikh, Mehul S. Raval, Chandrasinh Parmar, Sanjay Chaudhary:
Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images. 594-601 - Athula Ginige, Anusha Indika Walisadeera, Tamara Ginige, Lasanthi N. C. De Silva, Pasquale Di Giovanni, Maneesh Mathai, Jeevani S. Goonetillake, Gihan N. Wikramanayake, Giuliana Vitiello, Monica Sebillo, Genoveffa Tortora, Deborah Richards, Ramesh C. Jain:
Digital Knowledge Ecosystem for Achieving Sustainable Agriculture Production: A Case Study from Sri Lanka. 602-611
Environmental and Geo-spatial Data Analytics
- Malika Bendechache, M. Tahar Kechadi, Nhien-An Le-Khac:
Efficient Large Scale Clustering Based on Data Partitioning. 612-621 - Taito Lee, Shin Matsushima, Kenji Yamanishi:
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization. 622-631 - Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani:
On the Use of Ontology as A Priori Knowledge into Constrained Clustering. 632-641 - Andrej Dobrkovic, Maria-Eugenia Iacob, Jos van Hillegersberg:
Maritime Pattern Extraction from AIS Data Using a Genetic Algorithm. 642-651
Game Data Science
- Christian Sebastian Loh, I-Hung Li:
Using Players' Gameplay Action-Decision Profiles to Prescribe Training: Reducing Training Costs with Serious Games Analytics. 652-661 - Olivier Cavadenti, Víctor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue:
What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours. 662-671 - Po-Heng Chen, Yi-Pei Tu, Kuan-Ta Chen:
On the Tiny Yet Real Happiness Phenomenon in the Mobile Games Market. 672-681
Health Data Science
- Gary M. Weiss, Jeffrey W. Lockhart, Tony T. Pulickal, Paul T. McHugh, Isaac H. Ronan, Jessica L. Timko:
Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being. 682-688 - David C. Benkeser, Mark J. van der Laan:
The Highly Adaptive Lasso Estimator. 689-696 - Robert Hart, Alex Mu-Hsing Kuo:
Meeting Health Care Research Needs in a Kimball Integrated Data Warehouse. 697-705 - Dipanwita Dasgupta, Nitesh V. Chawla:
MedCare: Leveraging Medication Similarity for Disease Prediction. 706-715
Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis
- Leonardo Rocha, Fernando Mourão, Ramon Vieira, Alan Neves, Dárlinton B. F. Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira:
Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. 716-725 - Lea Canales, Carlo Strapparava, Ester Boldrini, Patricio Martínez-Barco:
Exploiting a Bootstrapping Approach for Automatic Annotation of Emotions in Texts. 726-734 - J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Ignacio Corcuera, Oscar Araque:
Senpy: A Pragmatic Linked Sentiment Analysis Framework. 735-742 - Credell Simeon, Howard J. Hamilton, Robert J. Hilderman:
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. 743-751
Statistical Learning for Data Science
- Jingxiang Chen, Tao Wang, Ralph Abbey, Joseph Pingenot:
A Distributed Decision Tree Algorithm and Its Implementation on Big Data Platforms. 752-761 - Adham Beykikhoshk, Dinh Q. Phung, Ognjen Arandjelovic, Svetha Venkatesh:
Analysing the History of Autism Spectrum Disorder Using Topic Models. 762-771 - Sandra E. Safo, Qi Long:
Sparse Linear Discriminant Analysis in Structured Covariates Space. 772-781 - Shirin Golchi:
Informative Priors and Bayesian Computation. 782-789 - Arjun Sondhi, Ali Shojaie:
Causal Structure Learning with Reduced Partial Correlation Thresholding. 790-797 - Harish S. Bhat, R. W. M. A. Madushani:
Nonparametric Adjoint-Based Inference for Stochastic Differential Equations. 798-807
Statistical and Mathematical tools for Data Mining
- Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu:
The Uniqueness and Greedy Method for Quadratic Compressive Sensing. 808-815 - Tian Guo, Zhao Xu, Xin Yao, Haifeng Chen, Karl Aberer, Koichi Funaya:
Robust Online Time Series Prediction with Recurrent Neural Networks. 816-825
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