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ORCIDDSAA 2017: Tokyo, Japan
- 2017 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2017, Tokyo, Japan, October 19-21, 2017. IEEE 2017, ISBN 978-1-5090-5004-8
Classification and Regression
- Cyrus Cousins, Eli Upfal
:
The k-Nearest Representatives Classifier: A Distance-Based Classifier with Strong Generalization Bounds. 1-10 - Yi-An Lin, Hsuan-Tien Lin:
Cyclic Classifier Chain for Cost-Sensitive Multilabel Classification. 11-20 - Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech:
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. 21-29 - Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau:
Learning Through Utility Optimization in Regression Tasks. 30-39
Image and Behavior Modeling
- Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Q. Phung:
Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring. 40-49 - Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla:
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment. 50-59 - Rabih Haidar, Shady Elbassuoni:
Website Navigation Behavior Analysis for Bot Detection. 60-68 - Zhenyu Zhao, Yan He, Miao Chen:
Inform Product Change through Experimentation with Data-Driven Behavioral Segmentation. 69-78
Evolving Networks
- Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt:
Scalable RFM-enriched Representation Learning for Churn Prediction. 79-88 - Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa:
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. 89-98 - Sofia Fernandes, Hadi Fanaee Tork, João Manuel Portela da Gama:
The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction. 99-108
Feature Exploration and Classification
- Len Feremans, Boris Cule, Celine Vens, Bart Goethals:
Combining Instance and Feature Neighbors for Efficient Multi-label Classification. 109-118 - Patrick M. De Boer, Marcel C. Bühler, Abraham Bernstein:
Expert Estimates for Feature Relevance are Imperfect. 119-128 - Wang Zhan, Min-Ling Zhang:
Multi-label Learning with Label-Specific Features via Clustering Ensemble. 129-136 - Manish Singh, Ria Mae Borromeo, Anas Hosami, Sihem Amer-Yahia, Shady Elbassuoni:
Customizing Travel Packages with Interactive Composite Items. 137-145
Network Analysis and Topic Modeling
- Pingjie Tang, Jed Pitera, Dmitry Zubarev, Nitesh V. Chawla:
Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach. 146-154 - Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti:
NDlib: Studying Network Diffusion Dynamics. 155-164 - Shaheen Syed, Marco R. Spruit:
Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation. 165-174 - Zhengqiao Zhao, Jason Rollins, Linge Bai, Gail Rosen:
Incremental Author Name Disambiguation for Scientific Citation Data. 175-183
Big Data and Disaster Management / Advanced Informatic Measurement Using Statistics, Machine Learning and Pattern Recognition
- Fangzhou Jiang, Lei Zhong, Kanchana Thilakarathna, Aruna Seneviratne, Kiyoshi Takano, Shigeki Yamada, Yusheng Ji:
Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network. 184-192 - Abdullah Alfarrarjeh, Sumeet Agrawal, Seon Ho Kim, Cyrus Shahabi:
Geo-Spatial Multimedia Sentiment Analysis in Disasters. 193-202 - João Miguel Monteiro, Asanobu Kitamoto, Bruno Martins:
Situational Awareness from Social Media Photographs Using Automated Image Captioning. 203-211 - Takashi Washio, Gaku Imamura, Genki Yoshikawa:
Machine Learning Independent of Population Distributions for Measurement. 212-221
Time Series Modeling and Forecast
- Gianluca Bontempi, Yann-Aël Le Borgne, Jacopo De Stefani:
A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. 222-231 - Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: The Cross-Sectional Autoregression Model. 232-241 - Vítor Cerqueira, Luís Torgo, Mariana Oliveira, Bernhard Pfahringer:
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. 242-251 - Nhan Dam, Dinh Q. Phung, Ba-Ngu Vo, Viet Huynh:
Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data. 252-261
Search and Sequence Modeling
- Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha:
RadiusSketch: Massively Distributed Indexing of Time Series. 262-271 - Kenichi Koizumi, Peter Eades, Kei Hiraki, Mary Inaba:
BJR-Tree: Fast Skyline Computation Algorithm for Serendipitous Searching Problems. 272-282 - Nora Alkhamees, Maria Fasli:
A Directional Change Based Trading Strategy with Dynamic Thresholds. 283-292 - Cheng-Wei Yang, Bijay Prasad Jaysawal, Jen-Wei Huang:
Subsequence Search Considering Duration and Relations of Events in Time Interval-Based Events Sequences. 293-302
Environmental and Geo-Spatial Data Analytics I
- Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi:
There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas. 303-312 - Darian Frajberg, Piero Fraternali, Rocio Nahime Torres:
Heterogeneous Information Integration for Mountain Augmented Reality Mobile Apps. 313-322 - Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau:
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. 323-331 - Xiangfu Meng, Yanhuan Tang, Xiaoyan Zhang:
DP-POIRS: A Diversified and Personalized Point-of-Interest Recommendation System. 332-333
Statistical Approaches
- Daniel P. Berrar, Werner Dubitzky:
On the Jeffreys-Lindley Paradox and the Looming Reproducibility Crisis in Machine Learning. 334-340 - Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. 341-350 - Ilias Kalamaras, Anastasios Drosou, Eleftheria Polychronidou, Dimitrios Tzovaras:
A Consistency-Based Multimodal Graph Embedding Method for Dimensionality Reduction. 351-360 - Alec Anderson, Sébastien Dubois, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines. 361-372
Acoustic and Video Recognition
- Akankshya Kar, Prashasthi Mavin, Yogesh Ghaturle, Vani M.:
What Makes a Video Memorable? 373-381 - Xuanyi Li, Weimin Wu, Hongye Su:
Convolutional Neural Networks Based Multi-task Deep Learning for Movie Review Classification. 382-388 - Fady Medhat, David Chesmore, John Robinson:
Masked Conditional Neural Networks for Automatic Sound Events Recognition. 389-394 - Ryosuke Kojima, Osamu Sugiyama, Kotaro Hoshiba, Reiji Suzuki, Kazuhiro Nakadai:
A Spatial-Cue-Based Probabilistic Model for Bird Song Scene Analysis. 395-404
New Applications I
- Muchen Tang, Serene Ow, Wenqing Chen, Yang Cao, Kong-wei Lye, Yaozhang Pan:
The Data and Science behind GrabShare Carpooling. 405-411 - Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara:
Regression Based Model for Autosteering of a Car with Delayed Steering Response. 412-419 - Hao-Ying Liang, Yun-Tung Shieh, Addicam Sanjay, Shao-Wen Yang, Shou-De Lin:
Ensemble-Based Location Tracking Using Passive RFID. 420-428 - Guanhua Lee, Sijia Wang, Fransiscus Dipuro, Jue Hou, Priyanka Grover, Lian Leng Low, Nan Liu, Chui Yee Loke:
Leveraging on Predictive Analytics to Manage Clinic No Show and Improve Accessibility of Care. 429-438
Environmental and Geo-Spatial Data Analytics II
- Darpan Baheti, Krishnan Sundara Rajan:
A Shape-Based Approach to Spatio-Temporal Data Analysis Using Satellite Imagery. 439-448 - The Anh Dang, Jayakumaran Deepak, Jingxuan Wang, Shixin Luo, Yunye Jin, Yibin Ng, Aloysius Lim, Ying Li:
Mobility Genome™- A Framework for Mobility Intelligence from Large-Scale Spatio-Temporal Data. 449-458 - Carmela Comito, Deborah Falcone, Domenico Talia:
A Peak Detection Method to Uncover Events from Social Media. 459-467 - Christophe Cruz:
Semantic Trajectory Modeling for Dynamic Built Environments. 468-476
New Applications II
- Girish Keshav Palshikar, Manoj Apte, Sachin Pawar, Nitin Ramrakhiyani:
HiSPEED: A System for Mining Performance Appraisal Data and Text. 477-486 - Shin'ya Nakano, Yoshifumi Futaana:
Identification of Signal and Noise Components in Spacecraft Neutral Particle Data Using a Bi-Level Mixture Model. 487-495 - Eric L. Lee, Tsung-Ting Kuo, Shou-De Lin:
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. 496-503 - Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala:
Enriching Course-Specific Regression Models with Content Features for Grade Prediction. 504-513
Beyond IID: Non-IID Learning
- Chunfang Yang, Yi Zhang, Ping Wang, Xiangyang Luo, Fenlin Liu, Jicang Lu:
Steganalysis Feature Subspace Selection Based on Fisher Criterion. 514-521 - Xueci Zhao, Chengzhang Zhu, Lizhi Cheng:
Coupled Bayesian Matrix Factorization in Recommender Systems. 522-528 - Vítor Cerqueira, Luís Torgo, Jasmina Smailovic, Igor Mozetic:
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. 529-538
Graph and Network
- Yuemeng Li, Xintao Wu, Aidong Lu:
On Spectral Analysis of Directed Signed Graphs. 539-548 - Bennett Cyphers, Kalyan Veeramachaneni:
AnonML: Locally Private Machine Learning over a Network of Peers. 549-560 - Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. 561-570 - Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multi-task Network Embedding. 571-580
Network Service I
- Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multiple Social Role Embedding. 581-589 - Micah J. Smith, Roy Wedge, Kalyan Veeramachaneni:
FeatureHub: Towards Collaborative Data Science. 590-600 - Amani Chouchane, Mohamed Bouguessa:
Identifying Anomalous Nodes in Multidimensional Networks. 601-610 - Soumajit Pramanik, Raphael Tackx, Anchit Navelkar, Jean-Loup Guillaume, Bivas Mitra:
Discovering Community Structure in Multilayer Networks. 611-620
Outliers and Compression
- Chandrika Kamath:
Learning to Compress Unstructured Mesh Data from Simulations. 621-630 - Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. 631-639 - Yan He, Miao Chen:
A Probabilistic, Mechanism-Indepedent Outlier Detection Method for Online Experimentation. 640-647
Data Science in Societal Debates / Game Data Science
- Michela Del Vicario, Sabrina Gaito, Walter Quattrociocchi, Matteo Zignani, Fabiana Zollo:
News Consumption during the Italian Referendum: A Cross-Platform Analysis on Facebook and Twitter. 648-657 - Julien Fontanarava, Gabriella Pasi, Marco Viviani:
Feature Analysis for Fake Review Detection through Supervised Classification. 658-666 - Rafet Sifa, Christian Bauckhage:
Online k-Maxoids Clustering. 667-675
Network Service II
- Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. 676-685 - Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, Maurizio Tesconi:
Exploiting Digital DNA for the Analysis of Similarities in Twitter Behaviours. 686-695 - Carmela Comito:
Where are You Going? Next Place Prediction from Twitter. 696-705 - Adrien Dulac, Éric Gaussier, Christine Largeron:
A Study of Stochastic Mixed Membership Models for Link Prediction in Social Networks. 706-715
Estimating Dependency and Dimensions
- Tomohiko Nakmaura, Tomoharu Iwata, Kenji Yamanishi:
Latent Dimensionality Estimation for Probabilistic Canonical Correlation Analysis Using Normalized Maximum Likelihood Code-Length. 716-725 - Phan Duy Nhat, Hoai An Le Thi:
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization. 726-733 - Jia Xu, Wei Wei, Longbing Cao:
Copula-Based High Dimensional Cross-Market Dependence Modeling. 734-743 - Hiroki Mori, Keisuke Kawano, Hiroki Yokoyama:
Causal Patterns: Extraction of Multiple Causal Relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis. 744-754
Data and Information Quality
- Ralph Foorthuis:
SECODA: Segmentation- and Combination-Based Detection of Anomalies. 755-764 - Emma Beauxis-Aussalet, Lynda Hardman:
Extended Methods to Handle Classification Biases. 765-774 - Noura H. Al Nuaimi, Mohammad M. Masud:
Toward Optimal Streaming Feature Selection. 775-782
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