{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T08:06:26Z","timestamp":1782374786515,"version":"3.54.5"},"reference-count":21,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,8,31]]},"abstract":"<jats:p>The transfer of scientific and technological achievements is an inevitable stage in the application of science and technology to the process of productivity. This process is accompanied by various influencing factors. How to eliminate the influence of adverse influence factors on the transformation of technology into productivity is crucial to the development of social productive forces. Based on this, from the perspective of deep learning, this study builds a technology transfer transformation platform through deep learning combined with data mining technology and analyzes the method in detail. On this basis, this paper takes a city as an example to analyze the platform of scientific and technological achievements transfer. In addition, by collecting existing data as system input and data mining analysis, this paper summarizes the advantages, disadvantages, opportunities and threats of the city\u2019s enterprises in the transformation of results and proposes corresponding countermeasures. The example verification shows that the method proposed in this study has certain practical effects and can provide theoretical reference for subsequent related research.<\/jats:p>","DOI":"10.3233\/jifs-179956","type":"journal-article","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T13:44:37Z","timestamp":1593783877000},"page":"1843-1854","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Construction of science and technology achievement transfer and transformation platform based on deep learning and data mining technology"],"prefix":"10.1177","volume":"39","author":[{"given":"Xiaoxu","family":"Guan","sequence":"first","affiliation":[{"name":"Southwest Petroleum University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixuan","family":"Fan","sequence":"additional","affiliation":[{"name":"Southwest Petroleum University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qirong","family":"Qin","sequence":"additional","affiliation":[{"name":"Southwest Petroleum University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Deng","sequence":"additional","affiliation":[{"name":"Southwest Petroleum University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gen","family":"Yang","sequence":"additional","affiliation":[{"name":"Chengdu Kede Information Technology Co., Ltd, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,7]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1108\/IMDS-12-2015-0509"},{"key":"e_1_3_2_3_2","doi-asserted-by":"crossref","unstructured":"JinM. WangY. and ZengY. Application of Data Mining Technology in Financial Risk Analysis[J] Wireless Personal Communications (2018).","DOI":"10.1007\/s11277-018-5402-5"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1108\/IJCST-03-2016-0017"},{"issue":"04","key":"e_1_3_2_5_2","first-page":"137","article-title":"Application of Data Mining Technology Based on Wireless Sensor Networks in Oceanographic Forecasting[J]","volume":"14","author":"Wei Z.","year":"2018","unstructured":"WeiZ., Application of Data Mining Technology Based on Wireless Sensor Networks in Oceanographic Forecasting[J], International Journal of Online Engineering (iJOE)14(04) (2018), 137.","journal-title":"International Journal of Online Engineering (iJOE)"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1342-3"},{"key":"e_1_3_2_7_2","doi-asserted-by":"crossref","unstructured":"YinH. Computer Network Virus Defense Technology Based on Data Mining Technology[J] IOP Conference Series Materials Science and Engineering (2018) 382.","DOI":"10.1088\/1757-899X\/382\/5\/052019"},{"key":"e_1_3_2_8_2","unstructured":"LouN. Spatial-temporal dynamics of rainstorm in East China based on spatial-temporal datamining technology[J] Chinese Journal of Applied Ecology (2017)."},{"key":"e_1_3_2_9_2","doi-asserted-by":"crossref","unstructured":"LiuX. The Application of Data Mining Technology in the Teaching Evaluation in Colleges and Universities[J] Journal of Computational and Theoretical Nanoscience (2017) 14.","DOI":"10.1166\/jctn.2017.6115"},{"key":"e_1_3_2_10_2","first-page":"1350","article-title":"IEEE 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Kansas City, MO (2017.11.13-2017.11.16) 2017","volume":"2017","author":"Chen W.","year":"2017","unstructured":"ChenW. and HeS., IEEE 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Kansas City, MO (2017.11.13-2017.11.16) 2017, IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Application of data mining technology in TCM diagnosis and treatment[C]\/\/ IEEE International Conference on Bioinformatics & Biomedicine. IEEE Computer Society2017 (2017), 1350\u20131353.","journal-title":"IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Application of data mining technology in TCM diagnosis and treatment[C]\/\/ IEEE International Conference on Bioinformatics & Biomedicine. IEEE Computer Society"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1080\/19475705.2018.1524400"},{"key":"e_1_3_2_12_2","article-title":"Data mining in educational technology classroom research: Can it make a contribution?[J]","volume":"2017","author":"Angeli C.","unstructured":"AngeliC., HowardS., MaJ., et al., Data mining in educational technology classroom research: Can it make a contribution?[J], Computers & Education2017, S0360131517301264.","journal-title":"Computers & Education"},{"key":"e_1_3_2_13_2","doi-asserted-by":"crossref","unstructured":"TriulziG. AlstottJ. and MageeC.L. Estimating Technology Performance Improvement Rates by Mining Patent Data[J] SSRN Electronic Journal (2018).","DOI":"10.2139\/ssrn.2987588"},{"key":"e_1_3_2_14_2","doi-asserted-by":"crossref","unstructured":"HouY. GuoH. and NevinN. Research and Prospect of Multimedia Information DataMining[J] Recent Patents on Computer Science (2017).","DOI":"10.2174\/2213275910666170206120748"},{"key":"e_1_3_2_15_2","first-page":"1","article-title":"Proactive Radio Resource Optimization with Margin Prediction: A Data Mining Approach[J]","volume":"2017","author":"Feng Z.","unstructured":"FengZ., LiX., ZhangQ., et al., Proactive Radio Resource Optimization with Margin Prediction: A Data Mining Approach[J], IEEE Transactions on Vehicular Technology2017, 1\u20131.","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"1","key":"e_1_3_2_16_2","first-page":"73","article-title":"Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons[J]","volume":"20","author":"Sorour S.","year":"2017","unstructured":"SorourS., GodaK. and MineT., Comment Data Mining to Estimate Student Performance Considering Consecutive Lessons[J], Educational Technology & Society20(1) (2017), 73\u201386.","journal-title":"Educational Technology & Society"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.3991\/ijet.v13i07.8778"},{"key":"e_1_3_2_18_2","doi-asserted-by":"crossref","unstructured":"LiuK. Garment Wearing Comfort Analysis Using Data Mining Technology[M]\/\/ Artificial Intelligence for Fashion Industry in the Big Data Era. (2018).","DOI":"10.1007\/978-981-13-0080-6_13"},{"issue":"5","key":"e_1_3_2_19_2","first-page":"1","article-title":"CET-4 score analysis based on data mining technology[J]","volume":"2018","author":"Xu J.","unstructured":"XuJ. and LiuY., CET-4 score analysis based on data mining technology[J], Cluster Computing2018(5), 1\u201311.","journal-title":"Cluster Computing"},{"issue":"3","key":"e_1_3_2_20_2","first-page":"83","article-title":"A method of evaluating diesel engine performance by using data mining technology[J]","volume":"43","author":"Feng S.","year":"2017","unstructured":"FengS., Lian-ZhongH., Yi-FanL., et al., A method of evaluating diesel engine performance by using data mining technology[J], Journal of Dalian Maritime University43(3) (2017), 83\u201388.","journal-title":"Journal of Dalian Maritime University"},{"key":"e_1_3_2_21_2","article-title":"Data-mining analysis of the provision of mobility devices in the United States with emphasis on complex rehab technology[J]","volume":"2017","author":"Sprigle S.","year":"2017","unstructured":"SprigleS. and Johnson TaylorS., Data-mining analysis of the provision of mobility devices in the United States with emphasis on complex rehab technology[J], Assistive Technology2017 (2017), 10400435.2017.1402391.","journal-title":"Assistive Technology"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11528-018-0307-4"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179956","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-179956","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179956","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:40:16Z","timestamp":1777455616000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-179956"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,8,31]]}},"alternative-id":["10.3233\/JIFS-179956"],"URL":"https:\/\/doi.org\/10.3233\/jifs-179956","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7]]}}}