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ORCIDData Science and Engineering, Volume 9
Volume 9, Number 1, March 2024
- Bin Cui:
Welcome to a New Era of the Data Science and Engineering Journal (DSE). 1-2 - Yee Ling Boo, Manik Gupta, Weijia Zhang, Philippe Fournier-Viger:
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live". 3-4 - Sharon Torao-Pingi
, Duoyi Zhang, Md. Abul Bashar, Richi Nayak:
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. 5-25 - Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Felip Martí Carrillo, Abhik Banerjee, Chris McCarthy, Hadi Ghaderi, Breno G. S. Costa, Anas Dawod, Dimitrios Georgakopoulos, Prem Prakash Jayaraman:
AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance. 26-40 - Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane:
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. 41-61 - Rob Muspratt, Musa Mammadov:
Anomaly Detection with Sub-Extreme Values: Health Provider Billing. 62-72 - Pushp Sra, Satish Chand:
A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets. 73-87 - Jiaqi Duan, Xiangfu Meng, Guihong Liu:
Where To Go at the Next Timestamp. 88-101 - Xuanhe Zhou, Zhaoyan Sun, Guoliang Li:
DB-GPT: Large Language Model Meets Database. 102-111
Volume 9, Number 2, June 2024
- Chenchen Sun, Yan Ning, Derong Shen, Tiezheng Nie:
Graph Neural Network-Based Short‑Term Load Forecasting with Temporal Convolution. 113-132 - Zhongping Zhang, Yin Jia, Yuehan Hou, Xinlu Yu:
Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation. 133-151 - Bo Wei, Xi Guo, Xiaodi Li, Ziyan Wu, Jing Zhao, Qiping Zou:
Construct and Query A Fine-Grained Geospatial Knowledge Graph. 152-176 - Xiaolong Wan, Xixian Han:
Efficient Top-k Frequent Itemset Mining on Massive Data. 177-203 - Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu:
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning. 204-219 - Yuqi Li, Guosheng Zang, Chunyao Song, Xiaojie Yuan, Tingjian Ge:
Leveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs. 220-237 - Yufang Liu, Shaoqing Wang, Xueting Li, Fuzhen Sun:
A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation. 238-249
Volume 9, Number 3, September 2024
- Mengying Xu, Linyin Luo, Hanjiang Lai, Jian Yin:
Category-Level Contrastive Learning for Unsupervised Hashing in Cross-Modal Retrieval. 251-263 - Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian:
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph. 264-277 - Zhigao Zhang, Fanfei Song, Bin Wang, Chuansheng Dong:
Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation. 278-293 - Xi Zeng, Fangyuan Lei, Chang-Dong Wang, Qing-Yun Dai:
Multi-view Heterogeneous Graph Neural Networks for Node Classification. 294-308 - Xiaoru Qu, Yifan Wang, Zhao Li, Jun Gao:
Graph-Enhanced Prompt Learning for Personalized Review Generation. 309-324 - Yufang Liu, Shaoqing Wang, Keke Li, Xueting Li, Fuzhen Sun:
Channel-Enhanced Contrastive Cross-Domain Sequential Recommendation. 325-340 - Lilan Peng, Xuehua Liao, Tianrui Li, Xiangyu Guo, Xiu Wang:
An Overview Based on the Overall Architecture of Traffic Forecasting. 341-359
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