{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T09:34:49Z","timestamp":1771666489227,"version":"3.50.1"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,9,18]],"date-time":"2017-09-18T00:00:00Z","timestamp":1505692800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100002509","name":"Keimyung University","doi-asserted-by":"publisher","award":["BISA Research Grant 2014"],"award-info":[{"award-number":["BISA Research Grant 2014"]}],"id":[{"id":"10.13039\/501100002509","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1007\/s11227-017-2142-3","type":"journal-article","created":{"date-parts":[[2017,9,18]],"date-time":"2017-09-18T15:07:51Z","timestamp":1505747271000},"page":"1283-1298","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Apriori-based text mining method for the advancement of the transportation management plan in expressway work zones"],"prefix":"10.1007","volume":"74","author":[{"given":"Shin Hyoung","family":"Park","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jienki","family":"Synn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4301-9030","authenticated-orcid":false,"given":"Oh Hoon","family":"Kwon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunsick","family":"Sung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,18]]},"reference":[{"key":"2142_CR1","unstructured":"Federal Highway Administration (2005) Developing and implementing transportation management plans for work zones. US Department of Transportation, Washington, DC"},{"key":"2142_CR2","unstructured":"California Department of Transportation (2015) Transportation management plan guidelines. Division of Traffic Operations, Office of Traffic Management, California Department of Transportation, Sacramento, California"},{"key":"2142_CR3","unstructured":"Colorado Department of Transportation (2014) Work zone safety and mobility rule. Procedures Document, Colorado Department of Transportation, Denver, Colorado"},{"key":"2142_CR4","unstructured":"Illinois Department of Transportation (2010) Chapter 13: Work zone transportation management plans. Bureau of Design and Environment Manual, Illinois Department of Transportation, Springfield, Illinois"},{"key":"2142_CR5","unstructured":"Oregon Department of Transportation (2013) Transportation management plan (TMP). Project Level Guidance Manual, Oregon Department of Transportation, Salem, Oregon"},{"key":"2142_CR6","unstructured":"Ministry of Land, Infrastructure and Transport (2013) Korea highway capacity manual. Infrastructure and Transport, Republic of Korea, Ministry of Land"},{"key":"2142_CR7","volume-title":"Data Mining: Concept and Techniques","author":"J Han","year":"2012","unstructured":"Han J, Pei J, Kamber M (2012) Data Mining: Concept and Techniques, 3rd edn. Morgan Kaufmann Publishers, Burlington","edition":"3"},{"key":"2142_CR8","volume-title":"Text Mining: Theory and Applications","author":"D Blei","year":"2009","unstructured":"Blei D, Lafertty J (2009) Topic models. In: Srivastava A, Sahami M (eds) Text Mining: Theory and Applications. Taylor and Francis, Oxfordshire"},{"key":"2142_CR9","doi-asserted-by":"crossref","unstructured":"Pang B, Lee L (2008) Opinion mining and sentiment analysis. Foundations and trends in information retrieval 2:1\u2013135, Hanover, Germany","DOI":"10.1561\/1500000011"},{"key":"2142_CR10","doi-asserted-by":"crossref","unstructured":"Mei Q, Zhai ChengXiang (2006) A mixture model for contextual text mining. In: Proceedings of the 2006 ACM SIGKDD International Conference on Knowledge Discovery in Databases (KDD \u201806), ACM, New York, New York, pp 649\u2013655","DOI":"10.1145\/1150402.1150482"},{"key":"2142_CR11","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/s13673-015-0049-7","volume":"5","author":"R Mafrur","year":"2015","unstructured":"Mafrur R, Nugraha GD, Choi D (2015) Modeling and discovering human behavior from smartphone sensing life-log data for identification purpose. Hum Cent Comput Inf Sci 5:31. doi:\n                        10.1186\/s13673-015-0049-7","journal-title":"Hum Cent Comput Inf Sci"},{"key":"2142_CR12","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s13673-016-0071-4","volume":"6","author":"M Lee","year":"2016","unstructured":"Lee M, Park Y-S, Kim M-H (2016) A convergence data model for medical information related to acute myocardial infarction. Hum Cent Comput Inf Sci 6:15. doi:\n                        10.1186\/s13673-016-0071-4","journal-title":"Hum Cent Comput Inf Sci"},{"key":"2142_CR13","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1186\/s13673-015-0052-z","volume":"5","author":"AP James","year":"2015","unstructured":"James AP (2015) Heart rate monitoring using human speech spectral features. Hum Cent Comput Inf Sci 5:33. doi:\n                        10.1186\/s13673-015-0052-z","journal-title":"Hum Cent Comput Inf Sci"},{"key":"2142_CR14","unstructured":"Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases. In: Proceedings of the \n                        $$20^{{\\rm th}}$$\n                        \n                            \n                                \n                                    20\n                                    th\n                                \n                            \n                        \n                     International Conference on Very Large Databases, Vol. 1215, Morgan Kaufmann Publishers, San Francisco, California, pp 487\u2013499"},{"key":"2142_CR15","doi-asserted-by":"crossref","unstructured":"Agrawal R, Imieli\u0144ski T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, Washington, DC, pp 207\u2013216","DOI":"10.1145\/170035.170072"},{"key":"2142_CR16","first-page":"9","volume":"6","author":"SC Young","year":"2015","unstructured":"Young SC, Song CM (2015) Recommender system using periodicity analysis via mining sequential patterns with time-series and FRAT analysis. J Converg 6:9\u201317","journal-title":"J Converg"},{"key":"2142_CR17","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/s13673-016-0064-3","volume":"6","author":"SC Jeeva","year":"2016","unstructured":"Jeeva SC, Rajsingh EB (2016) Intelligent phishing URL detection using association rule mining. Hum Cent Comput Inf Sci 6:10. doi:\n                        10.1186\/s13673-016-0064-3","journal-title":"Hum Cent Comput Inf Sci"},{"key":"2142_CR18","volume-title":"Speech and language processing","author":"D Jurafsky","year":"2009","unstructured":"Jurafsky D, Martin JH (2009) Speech and language processing, 2nd edn. Prentice Hall, Upper Saddle River","edition":"2"},{"key":"2142_CR19","unstructured":"Hahsler M, Buchta C, Gruen B, Hornik K, Johnson I, Borgelt C (2016) Package \u2018arules\u2019: mining association rules and frequent itemsets. R Package Version 1.5-0"},{"key":"2142_CR20","unstructured":"Jeon H, Kim T (2016) KoNLP: Korean NLP package. R Package Version (80)"},{"key":"2142_CR21","unstructured":"Feinerer I, Hornik K (2015) tm: Text mining package. R Package Version 0.6-2"},{"key":"2142_CR22","unstructured":"Hahsler M, Chelluboina S (2016) arulesViz: Visualizing association rules and frequent itemsets. R Package Version 1.2-0"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11227-017-2142-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-017-2142-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-017-2142-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,26]],"date-time":"2018-02-26T10:54:29Z","timestamp":1519642469000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11227-017-2142-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,18]]},"references-count":22,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,3]]}},"alternative-id":["2142"],"URL":"https:\/\/doi.org\/10.1007\/s11227-017-2142-3","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,18]]}}}