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IEEE Data Engineering Bulletin, Volume 42
Volume 42, Number 1, March 2019
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Philippe Bonnet:
Letter from the Special Issue Editor. 2
- David B. Lomet:
Data Caching Systems Win the Cost/Performance Game. 3-5 - Alon Y. Halevy:
The Ubiquity of Subjectivity. 6-9
- Stefan Noll, Norman May, Alexander Böhm, Jan Mühlig, Jens Teubner:
From the Application to the CPU: Holistic Resource Management for Modern Database Management Systems. 10-21 - Michael Wei, Nadav Amit:
Leveraging Hyperupcalls To Bridge The Semantic Gap: An Application Perspective. 22-35 - Jana Giceva:
Operating System Support for Data Management on Modern Hardware. 36-48 - Zsolt István:
The Glass Half Full: Using Programmable Hardware Accelerators in Analytics. 49-60 - Pinar Tözün, Helena Kotthaus:
Scheduling Data-Intensive Tasks on Heterogeneous Many Cores. 61-72 - Viktor Leis, Michael Haubenschild, Thomas Neumann:
Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method. 73-84
Volume 42, Number 2, June 2019
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Guoliang Li:
Letter from the Special Issue Editor. 2
- Philip A. Bernstein:
Resurrecting Middle-Tier Distributed Transactions. 3-6
- Matthaios Olma, Stella Giannakopoulou, Manos Karpathiotakis, Anastasia Ailamaki:
Toward Intelligent Query Engines. 7-18 - Gustavo Alonso, Zsolt István, Kaan Kara, Muhsen Owaida, David Sidler:
doppioDB 1.0: Machine Learning inside a Relational Engine. 19-31 - Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma, Prashanth Menon, Dana Van Aken, Lisa Lee, Ruslan Salakhutdinov:
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. 32-46 - Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike S. Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun:
Learning Data Structure Alchemy. 47-58 - Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran:
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. 59-70 - Guoliang Li, Xuanhe Zhou, Sihao Li:
XuanYuan: An AI-Native Database. 70-81
Volume 42, Number 3, September 2019
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Alexandra Meliou:
Letter from the Special Issue Editor. 2 - Johannes Gehrke:
Letter from the TCDE Awards Committee. 3
- Christian S. Jensen:
Value Creation from Massive Data in Transportation ? The Case of Vehicle Routing. 4-8 - Beng Chin Ooi, Gang Chen, Dumitrel Loghin, Wei Wang, Meihui Zhang:
5G: Agent for Further Digital Disruptive Transformations. 9-12
- Julia Stoyanovich, Bill Howe:
Nutritional Labels for Data and Models. 13-23 - Babak Salimi, Bill Howe, Dan Suciu:
Data Management for Causal Algorithmic Fairness. 24-35 - Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
A Declarative Approach to Fairness in Relational Domains. 36-48 - An Yan, Bill Howe:
Fairness in Practice: A Survey on Equity in Urban Mobility. 49-63 - Nawal Benabbou, Mithun Chakraborty, Yair Zick:
Fairness and Diversity in Public Resource Allocation Problems. 64-75 - Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich:
Towards Responsible Data-driven Decision Making in Score-Based Systems. 76-87
- Christian S. Jensen:
Letter from the Impact Award Winner. 88-89 - David B. Lomet:
Letter from the Service Award Winner. 90 - Viktor Leis:
Letter from the Rising Star Award Winner. 91
Volume 42, Number 4, December 2019
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Sihem Amer-Yahia, Lei Chen, Atsuyuki Morishima, Senjuti Basu Roy:
Letter from the Special Issue Editor. 2
- Michael Stonebraker, El Kindi Rezig:
Machine Learning and Big Data: What is Important? 3-7
- Senjuti Basu Roy:
Capturing Human Factors to Optimize Crowdsourced Label Acquisition through Active Learning. 8-22 - Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen:
Interaction Management in Crowdsourcing. 23-34 - David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan, Marion Tommasi, Ko Yoshida:
Platform Design for Crowdsourcing and Future of Work. 35-45 - Ria Mae Borromeo, Lei Chen, Abhishek Dubey, Sudeepa Roy, Saravanan Thirumuruganathan:
On Benchmarking for Crowdsourcing and Future of Work Platforms. 46-54 - Pierre Bourhis, Gianluca Demartini, Shady Elbassuoni, Emilie Hoareau, H. Raghav Rao:
Ethical Challenges in the Future of Work. 55-64
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