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ICDE Data Engineering Bulletin TCDE Awards |
ICDE Influential Paper AwardsInformation about selection process can be found at the end of the page ICDE 2023Justin J. Levandoski, David B. Lomet, Sudipta Sengupt ICDE 2022Rui Li, Kin Hou Lei, Ravi Khadiwala, Kevin Chen-Chuan Chang ICDE 2021Alfons Kemper, Thomas Neumann ICDE 2020Ashish Thusoo, Joydeep Sen Sarma, Namit Jain, Zheng Shao, Prasad Chakka, Ning Zhang, Suresh Anthony, Hao Liu, Raghotham Murthy Citation: A path-finding paper towards supporting SQL for the unstructured hadoop environment so that the DB community becomes relevant to big data. Many citations by the MapReduce (MR) proponents. This MR fever has faded by now and Hive's early MR execution engine described in the paper was replaced by Tez, a more sophisticated parallel execution engine. Selection of this paper as ICDE 2020 Ten-Year Influential Paper will bring the community an opportunity to learn the progress over the past ten years as well as to revisit the MR controversy. ICDE 2019Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal, Janet L. Wiener, Armando Fox, Michael I. Jordan, David A. Patterson ICDE 2018Bin Zhou and Jian Pei ICDE 2017Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer and Muthuramakrishnan Venkitasubramaniam Citation: L-diversity is method for sharing sensitive data in a privacy-preserving way. The method sanitizes the dataset in order to protect the confidentiality of individuals in the data, while still preserving aggregate statistics. L-diversity was the one of the first methods to demonstrate that user-level information can be protected from attackers without having to precisely specify or know the background knowledge of the attackers. The work started a line of foundational research into formal privacy definitions and algorithms for privacy preserving data publication. Today, l-diversity is often used when solutions with stronger privacy constraints do not leave sufficient utility in the published data. Ninghui Li, Tiancheng Li and Suresh Venkatasubramanian Citation: This paper introduces a novel privacy notion called t-closeness for preventing the disclosure of a sensitive attribute. It identifies as privacy-preserving the hypothetical situation where all potentially identifying attributes are removed and only the distribution of the sensitive attribute in the overall population is published. And t-closeness limits any additional information one can learn. The proposed privacy notion is elegant and thought-provoking, and has significantly influenced subsequent research in data privacy. ICDE 2015Michael Stonebraker, Ugur Çetintemel Citation: This paper asks the question whether we should continue to build general-purpose database systems or whether we should start building special-purpose systems that address a specific class of workloads. This question has raised heavy and ongoing debates in both industry and academia since 2005. The paper makes a case for special-purpose systems because they can achieve orders of magnitude better performance for their specific target workload. ICDE 2014Jeffrey Considine, Feifei Li, George Kollios, John W. Byers Citation: The paper describes novel methods to handle duplicate-sensitive aggregates over distributed datasets. It carefully extends the duplicate-insensitive Flajolet-Martin method, adapting it to require little computation and communication efforts, and make it robust to link losses. This work has been highly impactful in the area of sensor networks, and has been shown to be applicable to any setting with multiple data sources that may suffer network failures, such as distributed data centers of today. ICDE 2013Alon Y. Halevy Zachary G. Ives Dan Suciu Igor Tatarinov
Sergey Melnik, Hector Garcia-Molina, Erhard Rahm: Similarity Flooding
Citation: Together, these two papers describe techniques to match and mediate schemas. They show how to exploit schema structures for matching, how peer data management forms a next logical step for data integration research, and how to mediate among schemas in peer-to-peer settings. The proposed techniques are scalable and elegant, and have significantly influenced subsequent research in schema matching and peer data management. ICDE 2012Sanjay Agrawal, Surajit Chaudhuri, Gautam Das: DBXplorer Gaurav Bhalotia, Arvind Hulgeri, Charuta Nakhe, Soumen Chakrabarti, S. Sudarshan Citation: Together, these two papers from ICDE 2002 laid the foundations for keyword search over relational databases, paving the way for a significant body of follow-on work in the area of Information Retrieval and Databases. The solutions presented in these papers are elegant and highly effective. ICDE 2011Stephan Börzsönyi, Donald Kossmann, Konrad Stocker Citation: Skyline computation (a.k.a. the maximum vector problem) is a fundamental concept in multi-criteria decision making. This highly influential paper opened a new research topic in the database community. It framed the skyline concept in a database setting and offered a study of fundamental techniques for skyline query processing. The paper laid a solid foundation for a multitude of studies that have refined the concept of skylining and proposed efficient implementations in a variety of settings. ICDE 2009Kin-pong Chan, Ada Wai-Chee Fu Citation: This paper proposed the first efficient time-series indexing method by making use of discrete wavelet transform (DWT) and greatly influenced subsequent work on indexing of time series. It also showed that DFT (Discrete Fourier Transform) may not be the best representation for dimensionality reduction in time series, leading to significant research into alternative representations as well as wavelet-based scalable data analysis. ICDE 2008Rakesh Agrawal and Ramakrishnan Srikant Citation: This paper launched a new area in data mining. Sequential pattern mining has since become an important and active area with a variety of applications and much published work. The paper is a milestone in the field of data mining. ICDE 2007Kenneth Salem and Hector Garcia-Molina Citation: This early paper on disk striping significantly influenced subsequent work on RAID storage. ICDE 2006Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh Citation: This seminal paper defined a simple SQL construct that enables one to efficiently compute aggregations over all combinations of group-by columns in a single query, where previous approaches required multiple queries. This feature has had significant impact on industry and is now incorporated in all major database systems. ICDE 2005Goetz Graefe, William J. McKenna Citation: This seminal paper laid the foundation for transformation-based query optimizers. Volcano was the first optimizer framework based on this approach and inspired several others. Multiple commercial database systems rely on transformation-based query optimizers. Award Selection ProcessCommittee: A Small Group of Anonymous Members, who will be recognized at the end of their service (3 years and repeatable). Neither TCDE nor ICDE General Chairs/PC Chairs are involved in the selection process.
Chair: Facilitates drawing the unanimous decision First Round: Draw top candidate papers
Final Round: Review self-assessment
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