{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T05:37:40Z","timestamp":1773898660873,"version":"3.50.1"},"reference-count":54,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2024,1,29]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>This paper proposes an integrated classification method based on genetic algorithm and random forest algorithm. First, comprehensively consider the patent value evaluation model and SME credit evaluation model, determine 17 indicators to measure the patent value and SME credit; Secondly, establish the classification label of high-quality basic assets; Then, genetic algorithm and random forest model are used to predict and screen high-quality basic assets; Finally, the performance of the model is evaluated.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The machine learning model proposed in this study is mainly used to solve the screening problem of high-quality patents that constitute the underlying asset pool of PS. The empirical research shows that the integrated classification method based on genetic algorithm and random forest has good performance and prediction accuracy, and is superior to the single method that constitutes it.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The main contributions of the article are twofold: firstly, the machine learning model proposed in this article determines the standards for high-quality basic assets; Secondly, this article addresses the screening issue of basic assets in PS.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-06-2023-1107","type":"journal-article","created":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T23:10:15Z","timestamp":1694646615000},"page":"763-778","source":"Crossref","is-referenced-by-count":7,"title":["A novel approach to screening patents for securitization: a machine learning-based predictive analysis of high-quality basic asset"],"prefix":"10.1108","volume":"53","author":[{"given":"Cheng","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yi","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2406-1970","authenticated-orcid":false,"given":"Wenjing","family":"Xie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0784-8376","authenticated-orcid":false,"given":"Xinzhong","family":"Bao","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"issue":"3","key":"key2024012807362840200_ref001","first-page":"76","article-title":"Enterprise grid innovation management based on machine learning and swot evaluation","volume":"13","year":"2023","journal-title":"Journal of System and Management Sciences"},{"key":"key2024012807362840200_ref002","doi-asserted-by":"crossref","first-page":"6855","DOI":"10.1007\/s11192-022-04500-9","article-title":"Universities involvement in patent litigation: an analysis of the characteristics of US litigated patents","volume":"127","year":"2022","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref003","first-page":"879","article-title":"The log-linear relation between patent citations and patent value","volume":"110","year":"2016","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref004","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","year":"2001","journal-title":"Machine Learning"},{"issue":"4","key":"key2024012807362840200_ref005","doi-asserted-by":"crossref","first-page":"702","DOI":"10.2507\/IJSIMM17(4)CO17","article-title":"Genetic algorithm-based design and simulation of manufacturing flow shop scheduling","volume":"17","year":"2018","journal-title":"International Journal of Simulation Modelling"},{"key":"key2024012807362840200_ref006","doi-asserted-by":"crossref","first-page":"19679","DOI":"10.1109\/ACCESS.2020.2968540","article-title":"Threshold effects of the network structure in the relationship between patent PageRank and patent value","volume":"8","year":"2020","journal-title":"IEEE Access"},{"key":"key2024012807362840200_ref007","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11192-019-03119-7","article-title":"Re-examine the determinants of market value from the perspectives of patent analysis and patent litigation","volume":"120","year":"2019","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref008","doi-asserted-by":"crossref","first-page":"541","DOI":"10.2308\/accr.00000020","article-title":"Asset securitization, securitization recourse, and information uncertainty","volume":"86","year":"2011","journal-title":"The Accounting Review"},{"key":"key2024012807362840200_ref009","article-title":"Early detection of valuable patents using a deep learning model: case of semiconductor industry","volume":"158","year":"2020","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"key2024012807362840200_ref010","first-page":"51","article-title":"A practical approach to development and validation of credit risk models based on data analysis","volume":"56","year":"2022","journal-title":"Economic Computation and Economic Cybernetics Studies and Research"},{"key":"key2024012807362840200_ref011","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/BF02823145","article-title":"An introduction to genetic algorithms","volume":"24","year":"1999","journal-title":"Sadhana"},{"key":"key2024012807362840200_ref012","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1111\/j.1467-6419.2011.00712.x","article-title":"The role of fees in patent systems: theory and evidence","volume":"27","year":"2013","journal-title":"Journal of Economic Surveys"},{"issue":"3","key":"key2024012807362840200_ref013","first-page":"306","article-title":"Dynamic capabilities dimensions: a new measurement for digital start-up companies","volume":"13","year":"2023","journal-title":"Journal of System and Management Sciences"},{"key":"key2024012807362840200_ref014","doi-asserted-by":"crossref","first-page":"9369","DOI":"10.1007\/s11192-021-04180-x","article-title":"A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis","volume":"126","year":"2021","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref015","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.ins.2016.08.007","article-title":"A genetic algorithm approach to optimising random forests applied to class engineered data","volume":"384","year":"2017","journal-title":"Information Sciences"},{"key":"key2024012807362840200_ref016","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1016\/j.asoc.2017.02.020","article-title":"A novel version of k nearest neighbor: dependent nearest neighbor","volume":"55","year":"2017","journal-title":"Applied Soft Computing"},{"issue":"4","key":"key2024012807362840200_ref017","first-page":"117","article-title":"3D-Container loading problem with a distribution plan based on hybrid quantum genetic algorithm","volume":"55","year":"2021","journal-title":"Economic Computation and Economic Cybernetics Studies and Research"},{"key":"key2024012807362840200_ref018","doi-asserted-by":"crossref","first-page":"481","DOI":"10.3390\/axioms11090481","article-title":"Study on comprehensive evaluation based on AHP-MADM model for patent value of balanced vehicle","volume":"11","year":"2022","journal-title":"Axioms"},{"key":"key2024012807362840200_ref019","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.3390\/su11051330","article-title":"Credit rationing in small and micro enterprises: a theoretical analysis","volume":"11","year":"2019","journal-title":"Sustainability"},{"key":"key2024012807362840200_ref020","doi-asserted-by":"crossref","first-page":"1813","DOI":"10.1109\/TEM.2019.2938182","article-title":"Valuation of university-originated technologies: a predictive analytics approach","volume":"68","year":"2021","journal-title":"IEEE Transactions on Engineering Management"},{"key":"key2024012807362840200_ref021","first-page":"1137","article-title":"A study of cross-validation and bootstrap for accuracy estimation and model selection","volume":"14","year":"1995","journal-title":"IJCAI"},{"key":"key2024012807362840200_ref022","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.eswa.2016.05.029","article-title":"Financial innovation: credit default hybrid model for SME lending","volume":"61","year":"2016","journal-title":"Expert Systems with Applications"},{"key":"key2024012807362840200_ref023","first-page":"1","article-title":"Study on risk analysis and decision-making of small- and medium-sized enterprises on BP neural network algorithm","volume":"2022","year":"2022","journal-title":"Scientific Programming"},{"key":"key2024012807362840200_ref024","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.patrec.2020.07.023","article-title":"Probabilistic graph-based valuation model for measuring the relative patent value in a valuation scenario","volume":"138","year":"2020","journal-title":"Pattern Recognition Letters"},{"key":"key2024012807362840200_ref025","first-page":"577","article-title":"Discovering the realistic paths towards the realization of patent valuation from technical perspectives: defense, implementation or transfer","volume":"33","year":"2020","journal-title":"Neural Computing and Applications"},{"key":"key2024012807362840200_ref026","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.wpi.2018.10.004","article-title":"Research on petroleum patent valuation based on value capture theory","volume":"56","year":"2019","journal-title":"World Patent Information"},{"key":"key2024012807362840200_ref027","doi-asserted-by":"crossref","first-page":"106136","DOI":"10.1016\/j.compag.2021.106136","article-title":"Knowledge transfer for adapting pre-trained deep neural models to predict different greenhouse environments based on a low quantity of data","volume":"185","year":"2021","journal-title":"Computers and Electronics in Agriculture"},{"key":"key2024012807362840200_ref028","doi-asserted-by":"crossref","first-page":"755","DOI":"10.2307\/1912835","article-title":"Patents as options: some estimates of the value of holding European patent Stock","volume":"54","year":"1986","journal-title":"Econometrica"},{"issue":"2","key":"key2024012807362840200_ref029","first-page":"1","article-title":"AImproved random forest algorithm for cognitive radio networks' distributed channel and resource allocation performance","volume":"10","year":"2023","journal-title":"Journal of Logistics, Informatics and Service Science"},{"key":"key2024012807362840200_ref030","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1353\/tech.2018.0008","article-title":"The world's best carpets: erastus bigelow and the financing of antebellum innovation","volume":"59","year":"2018","journal-title":"Technology Culture"},{"key":"key2024012807362840200_ref031","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.isprsjprs.2011.11.002","article-title":"An assessment of the effectiveness of a random forest classifier for land-cover classification","volume":"67","year":"2012","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"key2024012807362840200_ref032","first-page":"299","article-title":"China's technological performance as reflected in patents","volume":"127","year":"2021","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref033","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","article-title":"A systematic analysis of performance measures for classification tasks","volume":"45","year":"2009","journal-title":"Information Processing and Management"},{"key":"key2024012807362840200_ref034","first-page":"127","article-title":"Capturing the economic value of triadic patents","volume":"118","year":"2018","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref035","doi-asserted-by":"crossref","first-page":"1334","DOI":"10.1109\/TEM.2019.2957842","article-title":"Patent value analysis using deep learning models\u2014the case of IoT technology mining for the manufacturing industry","volume":"68","year":"2021","journal-title":"IEEE Transactions on Engineering Management"},{"key":"key2024012807362840200_ref036","first-page":"185","article-title":"The indicator system and fuzzy comprehensive evaluation of patent value","volume":"29","year":"2008","journal-title":"Science Research Management"},{"issue":"2","key":"key2024012807362840200_ref037","first-page":"197","article-title":"Realizing excellence in enterprise management through digital innovation","volume":"10","year":"2023","journal-title":"Journal of Logistics, Informatics and Service Science"},{"key":"key2024012807362840200_ref038","doi-asserted-by":"crossref","first-page":"15503","DOI":"10.1007\/s00521-020-04748-3","article-title":"A survey on face data augmentation for the training of deep neural networks","volume":"32","year":"2020","journal-title":"Neural Computing and Applications"},{"issue":"1","key":"key2024012807362840200_ref039","doi-asserted-by":"crossref","first-page":"192","DOI":"10.2507\/IJSIMM20-1-CO4","article-title":"E-commerce workshop scheduling based on deep learning and genetic algorithm","volume":"20","year":"2021","journal-title":"International Journal of Simulation Modelling"},{"key":"key2024012807362840200_ref040","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.3390\/su15021087","article-title":"Predicting chain\u2019s manufacturing SME credit risk in supply chain finance based on machine learning methods","volume":"15","year":"2023","journal-title":"Sustainability"},{"key":"key2024012807362840200_ref041","doi-asserted-by":"crossref","first-page":"10811","DOI":"10.3233\/JIFS-201818","article-title":"The credit analysis of transportation capacity supply chain finance based on core enterprise credit radiation","volume":"40","year":"2021","journal-title":"Journal of Intelligent and Fuzzy Systems"},{"key":"key2024012807362840200_ref042","doi-asserted-by":"crossref","first-page":"8667","DOI":"10.3390\/su12208667","article-title":"Preventing patent risks in artificial intelligence industry for sustainable development: a multi-level network analysis","volume":"12","year":"2020","journal-title":"Sustainability"},{"key":"key2024012807362840200_ref043","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1080\/02664763.2019.1643829","article-title":"A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data","volume":"47","year":"2020","journal-title":"Journal of Applied Statistics"},{"key":"key2024012807362840200_ref044","article-title":"Empirical prediction of patent pledge financing of pharmaceutical enterprises-A case study in Jiangsu China","volume":"15","year":"2020","journal-title":"PLoS One"},{"key":"key2024012807362840200_ref045","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1109\/TEM.2019.2943135","article-title":"Potential value of patents with provisional applications: an assessment of bibliometric approach","volume":"69","year":"2022","journal-title":"IEEE Transactions on Engineering Management"},{"key":"key2024012807362840200_ref046","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s11192-020-03797-8","article-title":"A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool","volume":"126","year":"2021","journal-title":"Scientometrics"},{"key":"key2024012807362840200_ref047","first-page":"423","article-title":"Asset securitizations and credit risk","volume":"87","year":"2011","journal-title":"The Accounting Review"},{"key":"key2024012807362840200_ref048","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1287\/mnsc.1070.0814","article-title":"The impact of uncertain intellectual property rights on the market for ideas: evidence from patent grant delays","volume":"54","year":"2008","journal-title":"Management Science"},{"key":"key2024012807362840200_ref049","first-page":"214","article-title":"Indexes of patent value: a systematic literature review and classification","volume":"18","year":"2019","journal-title":"Knowledge Management Research and Practice"},{"key":"key2024012807362840200_ref050","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.jfineco.2011.12.007","article-title":"Optimal securitization with moral hazard","volume":"104","year":"2012","journal-title":"Journal of Financial Economics"},{"key":"key2024012807362840200_ref051","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.ejor.2013.02.030","article-title":"Updating a credit-scoring model based on new attributes without realization of actual data","volume":"234","year":"2014","journal-title":"European Journal of Operational Research"},{"key":"key2024012807362840200_ref052","doi-asserted-by":"crossref","first-page":"106036","DOI":"10.1016\/j.compag.2021.106036","article-title":"Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery","volume":"183","year":"2021","journal-title":"Computers and Electronics in Agriculture"},{"key":"key2024012807362840200_ref053","doi-asserted-by":"crossref","first-page":"1715","DOI":"10.3390\/su12051715","article-title":"A dynamic credit index system for TSMEs in China using the delphi and analytic hierarchy process (AHP) methods","volume":"12","year":"2020","journal-title":"Sustainability"},{"key":"key2024012807362840200_ref054","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0004-3702(02)00190-X","article-title":"Ensembling neural networks: many could be better than all","volume":"137","year":"2002","journal-title":"Artificial Intelligence"}],"container-title":["Kybernetes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-06-2023-1107\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/K-06-2023-1107\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:49:03Z","timestamp":1753393743000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/k\/article\/53\/2\/763-778\/1222351"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":54,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,9,14]]},"published-print":{"date-parts":[[2024,1,29]]}},"alternative-id":["10.1108\/K-06-2023-1107"],"URL":"https:\/\/doi.org\/10.1108\/k-06-2023-1107","relation":{},"ISSN":["0368-492X"],"issn-type":[{"value":"0368-492X","type":"print"}],"subject":[],"published":{"date-parts":[[2023,9,14]]}}}