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DSAA 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
On the Evaluation of Outlier Detection and One-Class Classification Methods. 1-10 - Antonio J. L. Batista, Ricardo J. G. B. Campello
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
An Exploratory Statistical Cusp Catastrophe Model. 100-109 - Yongkai Wu
Using Loglinear Model for Discrimination Discovery and Prevention. 110-119 - Bernat Coma-Puig, Josep Carmona
Fraud Detection in Energy Consumption: A Supervised Approach. 120-129 - Adrian Taylor, Sylvain P. Leblanc
Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks. 130-139 - Marie Douriez, Harish Doraiswamy, Juliana Freire
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
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
On the Role of Mentions on Tweet Virality. 204-213 - Patrick Breen, Jane Kelly, Timothy Heckman
Mining Pre-Exposure Prophylaxis Trends in Social Media. 214-221 - Yifang Wei, Lisa Singh, Brian Gallagher
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
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
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
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
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 - Thanh-Binh Nguyen, Vu Nguyen
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
Detecting Inaccurate Predictions of Pediatric Surgical Durations. 452-457 - Luca Oneto
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
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
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
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
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
Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images. 594-601 - Athula Ginige
Digital Knowledge Ecosystem for Achieving Sustainable Agriculture Production: A Case Study from Sri Lanka. 602-611
Environmental and Geo-spatial Data Analytics
- Malika Bendechache
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
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
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
Actitracker: A Smartphone-Based Activity Recognition System for Improving Health and Well-Being. 682-688 - David C. Benkeser
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
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
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
Analysing the History of Autism Spectrum Disorder Using Topic Models. 762-771 - Sandra E. Safo
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
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
Robust Online Time Series Prediction with Recurrent Neural Networks. 816-825
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