Cited by 303Stock Market Forecasting MethodsTime Series Analysis and ForecastingArtificial Intelligence in Healthcare

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Using support vector machine with a hybrid feature selection method to the stock trend prediction

Lee, Ming-Chi·2009·Expert Systems with Applications

Overview

Integrity signals

Registry

Crossref · 10.1016/j.eswa.2009.02.038

Cites

34 of 34 references verified0 citation errors · 0 not checkable

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Verification

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Citations

Cites

Show all 34 references

Research works printed but not linked: 2

  1. TEJD. (2008). Taiwan economic journal database. Available form <http://61.30.108.162/image/readme1.htm>.
  2. Weigend, A., (1994). On overfitting and the effective number of hidden units. In Proceedings of the 1993 connectionist models summer school (pp. 335–3420).

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Metadata

Authors
Lee, M.-C.
Affiliations
National Pingtung University (TW)
Corresponding author
Lee, Ming-Chi
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2009-10
Volume
36
Issue
8
Pages
10896-10904
ISSN
0957-4174 (ISSN-L)
OpenAlex
W2091621250
Cited by
302
References
34
Citations by year
2026: 11 · 2025: 12 · 2024: 17 · 2023: 29 · 2022: 32 · 2021: 24 · 2020: 29 · 2019: 26 · 2018: 15 · 2017: 12 · 2016: 15 · 2015: 14 · 2014: 20 · 2013: 15 · 2012: 11
FWCI
14.00
Type
journal article
Language
en
Open access
closed
Locations
Expert Systems with Applications (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
  • Physical Sciences › Computer Science › Signal Processing › Time Series Analysis and Forecasting
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
stock trend prediction, support vector machine, hybrid feature selection, F-score, sequential floating forward selection, filter and wrapper methods, feature selection, back propagation neural network comparison, kernel parameter optimization, financial time series

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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.

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