IEEE Data Engineering Bulletin, Volume 41

Volume 41, Number 1, March 2018

Letters

• 
  David B. Lomet:
  Letter from the Editor-in-Chief. 1
• 
  Tova Milo:
  Letter from the Special Issue Editor. 2

Special Issue on Applications of Provenance

• 
  Daniel Deutch, Nave Frost, Amir Gilad:
  Provenance for Non-Experts. 3-14
• 
  Juliana Freire, Fernando Seabra Chirigati:
  Provenance and the Different Flavors of Reproducibility. 15-26
• 
  Abdussalam Alawini, Susan B. Davidson, Gianmaria Silvello, Val Tannen, Yinjun Wu:
  Data Citation: A New Provenance Challenge. 27-38
• 
  Jane Xu, Waley Zhang, Abdussalam Alawini, Val Tannen:
  Provenance Analysis for Missing Answers and Integrity Repairs. 39-50
• 
  Bahareh Sadat Arab, Su Feng, Boris Glavic, Seokki Lee, Xing Niu, Qitian Zeng:
  GProM - A Swiss Army Knife for Your Provenance Needs. 51-62
• 
  Matteo Interlandi, Tyson Condie:
  Supporting Data Provenance in Data-Intensive Scalable Computing Systems. 63-73
• 
  Ang Chen, Chen Chen, Lay Kuan Loh, Yang Wu, Andreas Haeberlen, Limin Jia, Boon Thau Loo, Wenchao Zhou:
  Data Center Diagnostics with Network Provenance. 74-85

Volume 41, Number 2, June 2018

Letters

• 
  David B. Lomet:
  Letter from the Editor-in-Chief. 1
• 
  Guoliang Li:
  Letter from the Special Issue Editor. 2

Special Issue on Large-scale Data Integration

• 
  Michael Stonebraker, Ihab F. Ilyas:
  Data Integration: The Current Status and the Way Forward. 3-9
• 
  Chen Chen, Behzad Golshan, Alon Y. Halevy, Wang-Chiew Tan, AnHai Doan:
  BigGorilla: An Open-Source Ecosystem for Data Preparation and Integration. 10-22
• 
  Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel:
  Self-Service Data Preparation: Research to Practice. 23-34
• 
  AnHai Doan, Pradap Konda, Paul Suganthan G. C., Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Han Li, Philip Martinkus, Sidharth Mudgal, Erik Paulson, Haojun Zhang:
  Toward a System Building Agenda for Data Integration (and Data Science). 35-46
• 
  Xiaolan Wang, Laura M. Haas, Alexandra Meliou:
  Explaining Data Integration. 47-58
• 
  Renée J. Miller, Fatemeh Nargesian, Erkang Zhu, Christina Christodoulakis, Ken Q. Pu, Periklis Andritsos:
  Making Open Data Transparent: Data Discovery on Open Data. 59-70
• 
  Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
  Big Data Integration for Product Specifications. 71-81
• 
  Mengchu Cai, Martin Grund, Anurag Gupta, Fabian Nagel, Ippokratis Pandis, Yannis Papakonstantinou, Michalis Petropoulos:
  Integrated Querying of SQL database data and S3 data in Amazon Redshift. 82-90
• 
  Donatella Firmani, Sainyam Galhotra, Barna Saha, Divesh Srivastava:
  Robust Entity Resolution Using a CrowdOracle. 91-103
• 
  Ju Fan, Guoliang Li:
  Human-in-the-loop Rule Learning for Data Integration. 104-115