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ORCIDData Science and Engineering, Volume 3
Volume 3, Number 1, March 2018
- Maher Salloum
, Nathan Fabian, David M. Hensinger, Jina Lee, Elizabeth M. Allendorf, Ankit Bhagatwala, Myra L. Blaylock, Jacqueline H. Chen, Jeremy A. Templeton, Irina Tezaur:
Optimal Compressed Sensing and Reconstruction of Unstructured Mesh Datasets. 1-23 - Niharika Singh, Ashutosh Kumar Singh:
Data Privacy Protection Mechanisms in Cloud. 24-39 - Guangxuan Song, Wenwen Qu, Xiaojie Liu, Xiaoling Wang:
Approximate Calculation of Window Aggregate Functions via Global Random Sample. 40-51 - Lei Duan, Tinghai Pang, Jyrki Nummenmaa, Jie Zuo, Peng Zhang, Changjie Tang:
Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data. 52-67 - Qi Ye, Changlei Zhu, Gang Li, Zhimin Liu, Feng Wang:
Using Node Identifiers and Community Prior for Graph-Based Classification. 68-83
Volume 3, Number 2, June 2018
- Yunjun Gao, Lu Chen:
Special Issue Editorial. 85 - Nacéra Bennacer Seghouani, Francesca Bugiotti, Moditha Hewasinghage, Suela Isaj, Gianluca Quercini:
A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter. 86-100 - Jingwei Zhang, Qian Wang, Qing Yang, Rui Zhou, Yanchun Zhang:
Exploiting Multi-Category Characteristics and Unified Framework to Extract Web Content. 101-114 - Irvin Dongo, Yudith Cardinale, Richard Chbeir:
RDF-F: RDF Datatype inFerring Framework - Towards Better RDF Document Matching. 115-135 - Zhenjun Li, Yunting Lu, Wei-Peng Zhang, Rong-Hua Li, Jun Guo, Xin Huang, Rui Mao:
Discovering Hierarchical Subgraphs of K-Core-Truss. 136-149 - Mansurul Bhuiyan, Mohammad Al Hasan:
Representing Graphs as Bag of Vertices and Partitions for Graph Classification. 150-165 - K. S. Arun, V. K. Govindan:
A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval. 166-195
Volume 3, Number 3, September 2018
- Mohammad Al Hasan, Faizan Javed, Ioana E. Marinescu:
Special Issue Editorial. 197-198 - Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. 199-220 - Alan Chern, Qiaoling Liu, Josh Chao, Mahak Goindani, Faizan Javed:
Automatically Detecting Errors in Employer Industry Classification Using Job Postings. 221-231 - Rajiv Srivastava, Girish Keshav Palshikar, Saheb Chaurasia, Arati M. Dixit:
What's Next? A Recommendation System for Industrial Training. 232-247 - Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Benjamin Zweig, Brian Johnston, Rachel Rosenfeld:
Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources. 248-262 - Wei Pan, Zhanhuai Li, Yansong Zhang, Chuliang Weng:
The New Hardware Development Trend and the Challenges in Data Management and Analysis. 263-276 - Joo Young Lee, Rustam Tukhvatov:
Evaluations of Similarity Measures on VK for Link Prediction. 277-289
Volume 3, Number 4, December 2018
- Shazia Sadiq, Jianxin Li:
Special Issue of DASFAA 2018. 291-292 - Lizhen Cui, Lingxi Yue, Dong Wen, Lu Qin:
K-Connected Cores Computation in Large Dual Networks. 293-306 - Luyao Liu, Xingzhong Du, Lei Zhu, Fumin Shen, Zi Huang:
Learning Discrete Hashing Towards Efficient Fashion Recommendation. 307-322 - Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad M. Deshpande, Jayant R. Haritsa:
Collusion-Resistant Processing of SQL Range Predicates. 323-340 - Peng Lin, Qi Song, Yinghui Wu:
Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns. 341-358 - Son T. Mai, Sihem Amer-Yahia, Sébastien Bailly, Jean Louis Pépin, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen:
Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis. 359-378 - Kaiyu Li, Guoliang Li:
Approximate Query Processing: What is New and Where to Go? - A Survey on Approximate Query Processing. 379-397
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