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ORCIDTransactions on Data Science, Volume 2
Volume 2, Number 1, January 2021
- Tian Shi
, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy:
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. 1:1-1:37
- Yanhua Li, Jie Bao, Zhi-Li Zhang, Saif Benjaafar:
Introduction to the Special Issue on Urban Computing and Smart Cities. 2e:1-2e:2 - Xiuming Liu, Edith C. H. Ngai, Dave Zachariah:
Scalable Belief Updating for Urban Air Quality Modeling and Prediction. 2:1-2:19 - Srinivasan Iyengar, Stephen Lee, David E. Irwin, Prashant J. Shenoy, Benjamin Weil:
WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale. 3:1-3:25 - Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki:
Transfer Urban Human Mobility via POI Embedding over Multiple Cities. 4:1-4:26 - Tatiana Babicheva, Matej Cebecauer, Dominique Barth, Wilco Burghout, Leïla Kloul:
Empty Vehicle Redistribution with Time Windows in Autonomous Taxi Systems. 5:1-5:22
- Cristian Molinaro, Chiara Pulice, Anja Subasic, Abigail Bartolome, V. S. Subrahmanian:
STAR: Summarizing Timed Association Rules. 6:1-6:36
Volume 2, Number 2, April 2021
- Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, Andrea Bondavalli:
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. 7:1-7:26 - Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks. 8:1-8:23
- Ke Zhou, Jingkuan Song:
Introduction to the Special Issue on Learning-based Support for Data Science Applications. 9:1 - Yamin Li, Jun Zhang, Zhongliang Yang, Ru Zhang:
Topic-aware Neural Linguistic Steganography Based on Knowledge Graphs. 10:1-10:13 - Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao:
Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data. 11:1-11:26 - Xinyu Zhang, Xiaocui Li, Xiao-Yuan Jing, Li Cheng:
Simultaneous Image Reconstruction and Feature Learning with 3D-CNNs for Image Set-Based Classification. 12:1-12:13 - Ru Yang, Yuhui Deng, Yi Zhou, Ping Huang:
Boosting the Restoring Performance of Deduplication Data by Classifying Backup Metadata. 13:1-13:16 - Seid Miad Zandavi, Vera Yuk Ying Chung, Ali Anaissi:
Multi-user Remote Lab: Timetable Scheduling Using Simplex Nondominated Sorting Genetic Algorithm. 14:1-14:13 - Hongchao Gao, Yujia Li, Jiao Dai, Xi Wang, Jizhong Han, Ruixuan Li:
Multi-granularity Deep Local Representations for Irregular Scene Text Recognition. 15:1-15:18
Volume 2, Number 3, August 2021
- Xiancai Tian, Baihua Zheng, Yazhe Wang, Hsiao-Ting Huang, Chih-Chieh Hung:
TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data. 16:1-16:21 - Liam Steadman, Nathan Griffiths, Stephen Andrew Jarvis, Mark Bell, Shaun Helman, Caroline Wallbank:
kD-STR: A Method for Spatio-Temporal Data Reduction and Modelling. 17:1-17:31 - Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader:
TabReformer: Unsupervised Representation Learning for Erroneous Data Detection. 18:1-18:29 - Hans Walter Behrens, K. Selçuk Candan, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren:
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. 19:1-19:37 - Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. 20:1-20:26 - Marco Gramaglia, Marco Fiore, Angelo Furno, Razvan Stanica:
GLOVE: Towards Privacy-Preserving Publishing of Record-Level-Truthful Mobile Phone Trajectories. 21:1-21:36 - Vishal Chakraborty, Theo Delemazure, Benny Kimelfeld, Phokion G. Kolaitis, Kunal Relia, Julia Stoyanovich:
Algorithmic Techniques for Necessary and Possible Winners. 22:1-22:23 - Jie Song, Qiang He, Feifei Chen, Ye Yuan, Ge Yu:
PoBery: Possibly-complete Big Data Queries with Probabilistic Data Placement and Scanning. 23:1-23:28 - Paramita Dey, Subhayan Bhattacharya, Sarbani Roy:
A Survey on the Role of Centrality as Seed Nodes for Information Propagation in Large Scale Network. 24:1-24:25 - Yan Leng, Alejandro Noriega, Alex Pentland:
Tourism Event Analytics with Mobile Phone Data. 25:1-25:22 - Subhadip Maji, Smarajit Bose:
CBIR Using Features Derived by Deep Learning. 26:1-26:24
Volume 2, Number 4, November 2021
- Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation. 27:1-27:16 - Chance N. DeSmet, Diane J. Cook:
Recent Developments in Privacy-preserving Mining of Clinical Data. 28:1-28:32 - Federico Nanni, Goran Glavas, Ines Rehbein, Simone Paolo Ponzetto, Heiner Stuckenschmidt:
Political Text Scaling Meets Computational Semantics. 29:1-29:27 - Hong Huang, Mingyuan Chi, Yu Song, Hai Jin:
Mining World Indicators for Analyzing and Modeling the Development of Countries. 30:1-30:27
- Yanyan Shen, Anh Dinh, H. V. Jagadish:
Introduction to the Special Issue on Data Science for Next Generation Big Data. 31:1-31:2 - Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan:
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. 32:1-32:15 - Yuan Gao, Laurence T. Yang, Dehua Zheng, Jing Yang, Yaliang Zhao:
Quantized Tensor Neural Network. 33:1-33:18 - Xiaofeng Ding, Lin Chen, Pan Zhou, Wenbin Jiang, Hai Jin:
Differentially Private Deep Learning with Iterative Gradient Descent Optimization. 34:1-34:27
- Wenrui Li, Pengcheng Zhang, Hai Dong, Yangyang Jia, Wennan Cao:
RSDF-AM-LSTM: Regional Scale Division Rainfall Forecasting Using Attention and LSTM. 35:1-35:27 - Neeti Pokhriyal, Benjamin Valentino, Soroush Vosoughi:
An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media Data. 36:1-36:32 - Zixuan Li, Hao Li, Kenli Li, Fan Wu, Lydia Yiyu Chen, Keqin Li:
Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis. 37:1-37:27 - Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn:
Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. 38:1-38:39 - Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang:
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. 39:1-39:24 - Joel Goodman, Shahram Sarkani, Thomas A. Mazzuchi:
Distance-based Probabilistic Data Augmentation for Synthetic Minority Oversampling. 40:1-40:18 - Shibbir Ahmed, Md Johirul Islam, Hridesh Rajan:
Semantics and Anomaly Preserving Sampling Strategy for Large-Scale Time Series Data. 41:1-41:25 - Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. 42:1-42:21 - Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-Driven Collusion on Online Media: A Survey. 43:1-43:37 - Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Guohui Li, Peng Pan:
A Text-based Deep Reinforcement Learning Framework Using Self-supervised Graph Representation for Interactive Recommendation. 44:1-44:25
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