SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Hybrid genetic algorithms and support vector machines for bankruptcy prediction · Study

ArticleShelves

ArticleHybrid genetic algorithms and support vector machines for bankruptcy prediction

Sung-Hwan Min2005

Article2005

Hybrid genetic algorithms and support vector machines for bankruptcy prediction

Sung-Hwan Min · Jumin Lee · Ingoo Han

377 citations·0/0 files stored·Expert Systems with Applications

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Financial Distress and Bankruptcy Prediction Stock Market Forecasting Methods Data Mining and Machine Learning Applications

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 377 citations exist upstream.

References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1977ZETATM analysis A new model to identify bankruptcy risk of corporations 2003Financial time series forecasting using support vector machines 2001Application of support vector machines in financial time series forecasting 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis

Cited by

2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection 2011Machine Learning in Financial Crisis Prediction: A Survey 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey 2008A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2010The use of hybrid manifold learning and support vector machines in the prediction of business failurearticle · 9 shared references 2006Predicting corporate financial distress based on integration of support vector machine and logistic regressionarticle · 7 shared references 2009Support vector machines for default prediction of SMEs based on technology creditarticle · 7 shared references 2010A support vector machine-based model for detecting top management fraudarticle · 7 shared references 2007Financial failure prediction using efficiency as a predictorarticle · 7 shared references 2015Predicting corporate failure: a systematic literature review of methodological issuesreview · 7 shared references

Details

Year2005

Typearticle

Published2005-10-19

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations377

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1016/j.eswa.2005.09.070

openalex_workW2062634819

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2008

Feature selection in bankruptcy prediction

2007Forecasting financial condition of Chinese listed companies based on support vector machine

2013Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods

2011A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method