{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T16:11:59Z","timestamp":1690992719539},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T00:00:00Z","timestamp":1482451200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"new technology development projects","award":["20130305020GX"],"award-info":[{"award-number":["20130305020GX"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1007\/s11036-016-0797-2","type":"journal-article","created":{"date-parts":[[2016,12,24]],"date-time":"2016-12-24T17:37:19Z","timestamp":1482601039000},"page":"418-426","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Research and Citation Analysis of Data Mining Technology Based on Bayes Algorithm"],"prefix":"10.1007","volume":"22","author":[{"given":"Mingyang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Ming","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,23]]},"reference":[{"key":"797_CR1","doi-asserted-by":"crossref","unstructured":"Thangaraju Mr P., and Mehala R. (2015) Novel Classification based approaches over Cancer Diseases. system 4.3","DOI":"10.17148\/IJARCCE.2015.4370"},{"issue":"1","key":"797_CR2","doi-asserted-by":"crossref","first-page":"61","DOI":"10.14257\/ijdta.2014.7.1.06","volume":"7","author":"V Bijalwan","year":"2014","unstructured":"Bijalwan V, Kumar V, Kumari P et al (2014) KNN based machine learning approach for text and document mining. Int J Database Theory Appl 7(1):61\u201370","journal-title":"Int J Database Theory Appl"},{"issue":"1","key":"797_CR3","doi-asserted-by":"crossref","first-page":"118","DOI":"10.2478\/eurodl-2014-0008","volume":"17","author":"E Yukselturk","year":"2014","unstructured":"Yukselturk E, Ozekes S, T\u00fcrel YK (2014) Predicting dropout student: an application of data mining methods in an online education program. Eur J Open, Distance e-Learning 17(1):118\u2013133","journal-title":"Eur J Open, Distance e-Learning"},{"key":"797_CR4","unstructured":"Bala S, Kumar K. (2014) A literature review on kidney disease prediction using data mining classification technique[J]"},{"issue":"2","key":"797_CR5","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1109\/TII.2014.2299233","volume":"10","author":"W He","year":"2014","unstructured":"He W, Yan G, Da Xu L (2014) Developing vehicular data cloud services in the IoT environment. IEEE Trans Ind Inf 10(2):1587\u20131595","journal-title":"IEEE Trans Ind Inf"},{"issue":"4","key":"797_CR6","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1016\/j.eswa.2013.08.042","volume":"41","author":"A Pe\u00f1a-Ayala","year":"2014","unstructured":"Pe\u00f1a-Ayala A (2014) Educational data mining: a survey and a data mining-based analysis of recent works. Expert Syst Appl 41(4):1432\u20131462","journal-title":"Expert Syst Appl"},{"issue":"13","key":"797_CR7","doi-asserted-by":"crossref","first-page":"5948","DOI":"10.1016\/j.eswa.2014.03.019","volume":"41","author":"N Abdelhamid","year":"2014","unstructured":"Abdelhamid N, Ayesh A, Thabtah F (2014) Phishing detection based associative classification data mining. Expert Syst Appl 41(13):5948\u20135959","journal-title":"Expert Syst Appl"},{"key":"797_CR8","doi-asserted-by":"crossref","first-page":"431047","DOI":"10.1155\/2015\/431047","volume":"501","author":"F Chen","year":"2015","unstructured":"Chen F, Deng P, Wan J et al (2015) Data mining for the internet of things: literature review and challenges. Int J Distrib Sens Netw 501:431047","journal-title":"Int J Distrib Sens Netw"},{"issue":"1","key":"797_CR9","first-page":"037","volume":"9","author":"M Dhakar","year":"2014","unstructured":"Dhakar M, Tiwari A (2014) A novel data mining based hybrid intrusion detection framework. J Inf Comput Sci 9(1):037\u2013048","journal-title":"J Inf Comput Sci"},{"issue":"8","key":"797_CR10","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","volume":"26","author":"ML Zhang","year":"2014","unstructured":"Zhang ML, Zhou ZH (2014) A review on multi-label learning algorithms. IEEE Trans Knowl Data Eng 26(8):1819\u20131837","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"797_CR11","first-page":"56","volume":"2","author":"V Chaurasia","year":"2014","unstructured":"Chaurasia V, Pal S (2014) Data mining approach to detect heart diseases. Int J Adv Comput Sci Info Technol (IJACSIT) 2:56\u201366","journal-title":"Int J Adv Comput Sci Info Technol (IJACSIT)"},{"issue":"33","key":"797_CR12","doi-asserted-by":"crossref","first-page":"4591","DOI":"10.9734\/BJAST\/2014\/11744","volume":"4","author":"HF Jelinek","year":"2014","unstructured":"Jelinek HF, Yatsko A, Stranieri A et al (2014) Novel data mining techniques for incomplete clinical data in diabetes management. British JAppl Sci Technol 4(33):4591\u20134460","journal-title":"British JAppl Sci Technol"},{"key":"797_CR13","unstructured":"Bijalwan V, Kumari P, Pascual J, et al. (2014) Machine learning approach for text and document mining[J]. arXiv preprint arXiv:1406.1580"},{"key":"797_CR14","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.chb.2014.09.034","volume":"47","author":"W Xing","year":"2015","unstructured":"Xing W, Guo R, Petakovic E et al (2015) Participation-based student final performance prediction model through interpretable genetic programming: integrating learning analytics, educational data mining and theory. Comput Hum Behav 47:168\u2013181","journal-title":"Comput Hum Behav"},{"issue":"3","key":"797_CR15","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1108\/IntR-11-2013-0249","volume":"25","author":"S Okazaki","year":"2015","unstructured":"Okazaki S, D\u00edaz-Mart\u00edn AM, Rozano M et al (2015) Using twitter to engage with customers: a data mining approach. Internet Res 25(3):1066\u20132243","journal-title":"Internet Res"},{"key":"797_CR16","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.fss.2013.07.012","volume":"239","author":"M Bounhas","year":"2014","unstructured":"Bounhas M, Hamed MG, Prade H et al (2014) Naive possibilistic classifiers for imprecise or uncertain numerical data. Fuzzy Sets Syst 239:137\u2013156","journal-title":"Fuzzy Sets Syst"},{"key":"797_CR17","unstructured":"Charninda T, Dayaratne TT, Amarasinghe HKN, et al. (2014) Content based hybrid sms spam filtering system[J]"},{"issue":"2","key":"797_CR18","first-page":"123","volume":"2","author":"DP Shukla","year":"2014","unstructured":"Shukla DP, Patel SB, Sen AK (2014) A literature review in health informatics using data mining techniques. Int J Softw Hardw Res Eng 2(2):123\u2013129","journal-title":"Int J Softw Hardw Res Eng"},{"key":"797_CR19","unstructured":"Olsson A, Nordl\u00f6f D. (2015) Early screening diagnostic aid for heart disease using data mining: An evaluation using patient data that can be obtained without medical equipment[J]"},{"key":"797_CR20","doi-asserted-by":"crossref","unstructured":"Zhou X, Lim JS, Kwon IK, et al. (2014) EM algorithm with GMM and Naive Bayesian to Implement Missing Values[J]. Proceedings of April 17th, 15\u201319","DOI":"10.14257\/astl.2014.46.01"},{"key":"797_CR21","unstructured":"Dey M, Rautaray SS. (2014) Disease Predication of Cardio-Vascular Diseases, Diabetes and Malignancy in Lungs Based on Data Mining Classification Techniques[J]"},{"key":"797_CR22","unstructured":"Jayakameswaraiah M, Ramakrishna S. (2014) A study on prediction performance of some data mining algorithms[J]. International Journal, 2 (10)"},{"key":"797_CR23","first-page":"021","volume":"2","author":"Z Xiao-feng","year":"2014","unstructured":"Xiao-feng Z, Shu W (2014) Data mining method of road transportation management information based on rough set and association rule. J South China Univ Technol (Natural Science Edition) 2:021","journal-title":"J South China Univ Technol (Natural Science Edition)"},{"issue":"3","key":"797_CR24","first-page":"1173","volume":"8","author":"Y Zhao","year":"2014","unstructured":"Zhao Y, Niu Z, Peng X (2014) Research on data Mining Technologies for Complicated Attributes Relationship in digital library collections. Appl Math 8(3):1173\u20131178","journal-title":"Appl Math"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11036-016-0797-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-016-0797-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-016-0797-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T22:40:56Z","timestamp":1568673656000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11036-016-0797-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,23]]},"references-count":24,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,6]]}},"alternative-id":["797"],"URL":"https:\/\/doi.org\/10.1007\/s11036-016-0797-2","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"value":"1383-469X","type":"print"},{"value":"1572-8153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,23]]}}}