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DSAA 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
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. 21-29 - Paula Branco, Luís Torgo
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
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
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
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
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
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
NDlib: Studying Network Diffusion Dynamics. 155-164 - Shaheen Syed
Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation. 165-174 - Zhengqiao Zhao
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
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
Situational Awareness from Social Media Photographs Using Automated Image Captioning. 203-211 - Takashi Washio, Gaku Imamura
Machine Learning Independent of Population Distributions for Measurement. 212-221
Time Series Modeling and Forecast
- Gianluca Bontempi
A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. 222-231 - Claudio Hartmann
CSAR: The Cross-Sectional Autoregression Model. 232-241 - Vítor Cerqueira
Dynamic and Heterogeneous Ensembles for Time Series Forecasting. 242-251 - Nhan Dam, Dinh Q. Phung
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
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
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
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
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
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
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
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
Mobility Genome™- A Framework for Mobility Intelligence from Large-Scale Spatio-Temporal Data. 449-458 - Carmela Comito
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
HiSPEED: A System for Mining Performance Appraisal Data and Text. 477-486 - Shin'ya Nakano
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
A Collaborative Filtering-Based Two Stage Model with Item Dependency for Course Recommendation. 496-503 - Qian Hu, Agoritsa Polyzou
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
A Comparative Study of Performance Estimation Methods for Time Series Forecasting. 529-538
Graph and Network
- Yuemeng Li, Xintao Wu
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
Multi-task Network Embedding. 571-580
Network Service I
- Linchuan Xu
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
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
News Consumption during the Italian Referendum: A Cross-Platform Analysis on Facebook and Twitter. 648-657 - Julien Fontanarava, Gabriella Pasi
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
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. 676-685 - Stefano Cresci
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
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
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
Extended Methods to Handle Classification Biases. 765-774 - Noura H. Al Nuaimi
Toward Optimal Streaming Feature Selection. 775-782
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