Data mining and knowledge discovery in databases
Abstract
article Free Access Share on Data mining and knowledge discovery in databases Authors: Usama Fayyad Jet Propulsion Laboratory, California Institute of Technology Jet Propulsion Laboratory, California Institute of TechnologyView Profile , Ramasamy Uthurusamy General Motors Corp. General Motors Corp.View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 11Nov. 1996 pp 24–26https://doi.org/10.1145/240455.240463Online:01 November 1996Publication History 409citation3,548DownloadsMetricsTotal Citations409Total Downloads3,548Last 12 Months76Last 6 weeks9 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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Documentation about data collection methods provides the information needed to make informed decisions about using a dataset and to avoid unintentional misuse.
“For consumers, documentation about data collection methods provides the information needed to make informed decisions about using a dataset and to avoid unintentional misuse [23,25].”
From A Survey of Data Quality Requirements That Matter in ML Development Pipelines (2023) · cites this paper as [23]
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A Survey of Data Quality Requirements That Matter in ML Development Pipelines
Priestley, M., O’donnell, F., & Simperl, E. (2023) · Journal of Data and Information Quality · doi:10.1145/3592616 · Cited by 86 · see citing works
Dellarocas, C. N. (2001) · SSRN Electronic Journal · doi:10.2139/ssrn.289967 · Cited by 25 · see citing works
Work fragmentation in developer interaction data
Cruz, L. C., Sanchez, H., González, V. M., & Robbes, R. (2017) · Journal of Software: Evolution and Process · doi:10.1002/smr.1839 · Cited by 6 · see citing works
- Authors
- Fayyad, U., & Uthurusamy, R.
- Affiliations
- Jet Propulsion Laboratory (US)
- General Motors (United States) (US)
- ORCID
- Fayyad, Usama
- Venue
- Communications of the ACM
- Published
- 1996-11
- Volume
- 39
- Issue
- 11
- Pages
- 24-26
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2035703056
- Cited by
- 590
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 11 · 2021: 16 · 2020: 12 · 2019: 9 · 2018: 11 · 2017: 11 · 2016: 20 · 2015: 15 · 2014: 27 · 2013: 53 · 2012: 36
- FWCI
- 38.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
- Keywords
- data mining, knowledge discovery, database mining
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