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  Browse All Reviews > Information Systems (H) > Database Management (H.2) > General (H.2.0)  
 
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  1-10 of 191 Reviews about "General (H.2.0)": Date Reviewed
   Towards a validated self-efficacy scale for data management
Wu W.  SIGCSE 2023 Toronto, Canada, Mar 15-18, 2023) 186-192, 2023.  Type: Proceedings

I found this paper to be a challenging read as it required me to learn some new concepts. I still don’t have a full understanding of the topic, but I appreciate the author’s goals and approach. If I’d been reviewing a draft of th...

Aug 23 2023
   Responsible data management
Stoyanovich J., Abiteboul S., Howe B., Jagadish H., Schelter S. Communications of the ACM 6564-74, 2022.  Type: Article

There are an abundance of papers and resources that discuss data management, but few have taken the approach that Stoyanovich et al. take in this article. Starting off with a discussion of the ethical and legal requirements and considerations for ...

Jun 8 2023
  ChronicleDB: a high-performance event store
Seidemann M., Glombiewski N., Körber M., Seeger B. ACM Transactions on Database Systems 44(4): 1-45, 2019.  Type: Article

A database is a warehouse of information; its contents can be anything from bank account details for millions of customers to the large historical weather-related data used for analysis. There are several database management solutions,...

Jun 2 2021
  G-CORE: a core for future graph query languages
Angles R., Arenas M., Barcelo P., Boncz P., Fletcher G., Gutierrez C., Lindaaker T., Paradies M., Plantikow S., Sequeda J., van Rest O., Voigt H.  SIGMOD 2018 (Proceedings of the 2018 International Conference on Management of Data, Houston, TX, Jun 10-15, 2018) 1421-1432, 2018.  Type: Proceedings

With a description of the G-CORE language, designed by the Linked Data Benchmark Council (LDBC) Graph Query Language Task Force, this paper presents a standardization proposal of a graph query language for property graphs....

Nov 10 2020
  Making databases work: the pragmatic wisdom of Michael Stonebraker
Brodie M. Association for Computing Machinery and Morgan & Claypool, New York, NY, 2019.  Type: Divisible Book

Michael Stonebraker, in 2014, won the ACM A. M. Turing Award “for fundamental contributions to the concepts and practices underlying modern database systems.” From the back cover: “The book describes, for ...

Jun 10 2020
  A framework for privacy-preserving data publishing with enhanced utility for cyber-physical systems
Sangogboye F., Jia R., Hong T., Spanos C., Kjærgaard M. ACM Transactions on Sensor Networks 14(3-4): 1-22, 2018.  Type: Article

I recently did research on cyber-physical systems (CPSs) based on sensors that collect data about the humans who are wearing them. The actual problem that arises in such an environment is related to privacy, because CPS deployment may ...

Feb 19 2020
  Data management in machine learning systems
Boehm M., Kumar A., Yang J., Morgan&Claypool Publishers, San Rafael, CA, 2019. 174 pp.  Type: Book (978-1-681734-96-5)

Supervised machine learning (ML) systems need labeled datasets for training and testing models, and unsupervised ML systems need datasets for identifying hidden patterns. If the datasets for an application could be generated from an ex...

Jan 10 2020
  Internet of Things: information security challenges and solutions
Miloslavskaya N., Tolstoy A. Cluster Computing 22(1): 103-119, 2019.  Type: Article

The Internet of Things (IoT) has gained tremendous popularity over the years, allowing objects to be connected without intervention from humans. While this has opened up many opportunities for developing services and applications, it h...

Jan 9 2020
  2018: a big year for privacy
Landwehr C. Communications of the ACM 62(2): 20-22, 2019.  Type: Article

Privacy and security issues reached high visibility in 2018, with many major publicized incidents. Carl Landwehr starts with the Facebook–Cambridge Analytica scandal, and then describes regulatory efforts such as the European Union (EU...

Nov 7 2019
  Understanding database reconstruction attacks on public data
Garfinkel S., Abowd J., Martindale C. Queue 16(5): 28-53, 2018.  Type: Article

I found this article on the US Census Bureau to be a fascinating tale of the history of the census, including attacks on it and methods that can be used to prevent the loss of personally identifying information (PII) stored there. The ...

Oct 7 2019
 
 
 
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