The DOI matches its Crossref record.
Feature Extraction Construction and Selection: A Data Mining Perspective
Abstract
From the Publisher: The book can be used by researchers and graduate students in machine learning, data mining, and knowledge discovery, who wish to understand techniques of feature extraction, construction and selection for data pre-processing and to solve large size, real-world problems. The book can also serve as a reference book for those who are conducting research about feature extraction, construction and selection, and are ready to meet the exciting challenges ahead of us.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Machine learning: Algorithms, real-world applications and research directions
Sarker, I. H. (2021) · SN Computer Science · doi:10.1007/s42979-021-00592-x · Cited by 5,583
“Thus, “feature selection” [66] [99] is considered as one of”
Toward integrating feature selection algorithms for classification and clustering
Liu, H., & Yu, L. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.66 · Cited by 2,706
Self-citationSemantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches
Jensen, R., & Shen, Q. (2004) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2004.96 · Cited by 667
Moore, J. H., Gilbert, J. C., Tsai, C.-T., Chiang, F.-T., Holden, T., Barney, N., & White, B. C. (2006) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2005.11.036 · Cited by 608
Metadata
- Authors
- MTW, Liu, H., & Motoda, H.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1999-12
- Volume
- 94
- Issue
- 448
- Pages
- 1390
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W1989344766
- Cited by
- 713
- References
- 0
- FWCI
- 29.09
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Feature Extraction Construction and Selection: A Data Mining Perspective. https://app.cochat.ai/papers/10.2307/2669967
- The paper
- MTW, Liu, H., & Motoda, H. (1999). Feature Extraction Construction and Selection: A Data Mining Perspective. Journal of the American Statistical Association. https://doi.org/10.2307/2669967
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.
