The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Data preparation for data mining
Open accessAbstract
Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data analysis aimed at cleaning the raw data. In this paper, we first show the importance of data preparation in data analysis, then introduce some research achievements in the area of data preparation. Finally, we suggest some future directions of research and development.
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Citations
Cites
An analysis of four missing data treatment methods for supervised learning
Batista, G. E. A. P. A., & Monard, M. C. (2003) · Applied Artificial Intelligence · doi:10.1080/713827181 · Cited by 895
Feature selection for the naive bayesian classifier using decision trees
Ratanamahatana, C. A., & Gunopulos, D. (2003) · Applied Artificial Intelligence · doi:10.1080/713827175 · Cited by 148
Cited by
Machine learning: a review of classification and combining techniques
Kotsiantis, S. B., Zaharakis, I. D., & Pintelas, P. E. (2006) · Artificial Intelligence Review · doi:10.1007/s10462-007-9052-3 · Cited by 1,582
Tourism demand forecasting: A deep learning approach
Law, R., Li, G., Fong, D. K. C., & Han, X. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2019.01.014 · Cited by 448
Types of machine learning algorithms
Oladipupo, T. (2010) · New Advances in Machine Learning · doi:10.5772/9385 · Cited by 443
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Ashmore, R., Calinescu, R., & Paterson, C. (2022) · ACM Computing Surveys · doi:10.1145/3453444 · Cited by 256
An empirical analysis of data preprocessing for machine learning-based software cost estimation
Huang, J., Li, Y.-F., & Xie, M. (2015) · Information and Software Technology · doi:10.1016/j.infsof.2015.07.004 · Cited by 223
Metadata
- Authors
- Zhang, S., Zhang, C., & Yang, Q.
- Venue
- Applied Artificial Intelligence
- Publisher
- Informa UK Limited
- Published
- 2003-05
- Volume
- 17
- Issue
- 5-6
- Pages
- 375-381
- ISSN
- 0883-9514 (ISSN-L)
- 1087-6545
- OpenAlex
- W2133160781
- Cited by
- 512
- References
- 2
- FWCI
- 5.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
