The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Exploratory Data Mining and Data Cleaning
Abstract
From the Publisher: A groundbreaking addition to the existing literature, Exploratory Data Mining and Data Cleaning serves as an important reference for data analysts who need to analyze large amounts of unfamiliar data, operations managers, and students in undergraduate or graduate-level courses, dealing with data analysis and data mining.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Fisher, R. A. (1936) · BMJ · doi:10.1136/bmj.1.3923.554-a · Cited by 4,980
Cited by
Data Quality in Internet of Things: A state-of-the-art survey
Karkouch, A., Mousannif, H., Al Moatassime, H., & Noel, T. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.08.002 · Cited by 378
ActiveClean: interactive data cleaning for statistical modeling
Krishnan, S., Wang, J., Wu, E., Franklin, M. J., & Goldberg, K. (2016) · Proceedings of the VLDB Endowment · doi:10.14778/2994509.2994514 · Cited by 264
Information integration in the enterprise
Bernstein, P. A., & Haas, L. M. (2008) · Communications of the ACM · doi:10.1145/1378727.1378745 · Cited by 258
Data Quality Management in the Internet of Things
Zhang, L., Jeong, D., & Lee, S. (2021) · Sensors · doi:10.3390/s21175834 · Cited by 77
Wrangling messy CSV files by detecting row and type patterns
van den Burg, G. J. J., Nazábal, A., & Sutton, C. (2019) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-019-00646-y · Cited by 42
Metadata
- Authors
- Dasu, T., & Johnson, T.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 2003-05-09
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W1551385575
- Cited by
- 618
- References
- 2
- FWCI
- 11.77
- Type
- book
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
