{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:05:15Z","timestamp":1755839115730,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030732790"},{"type":"electronic","value":"9783030732806"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-73280-6_48","type":"book-chapter","created":{"date-parts":[[2021,4,4]],"date-time":"2021-04-04T08:02:28Z","timestamp":1617523348000},"page":"606-615","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Forecasting Stock Trend Based on the Constructed Anomaly-Patterns Based Decision Tree"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1515-4243","authenticated-orcid":false,"given":"Chun-Hao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yin-Ting","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shih-Ting","family":"Hung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mu-En","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,5]]},"reference":[{"issue":"1","key":"48_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1109\/MIS.2017.10","volume":"32","author":"TP Michalak","year":"2017","unstructured":"Michalak, T.P., Wooldridge, M.: AI and economics [Guest editors\u2019 introduction]. IEEE Intell. Syst. 32(1), 5\u20137 (2017)","journal-title":"IEEE Intell. Syst."},{"issue":"3","key":"48_CR2","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neucom.2011.12.013","volume":"15","author":"B Wang","year":"2012","unstructured":"Wang, B., Huang, H., Wang, X.: A novel text mining approach to financial time series forecasting. Neurocomputing 15(3), 136\u2013145 (2012)","journal-title":"Neurocomputing"},{"issue":"1","key":"48_CR3","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1109\/JSYST.2018.2794462","volume":"13","author":"R Ren","year":"2019","unstructured":"Ren, R., Wu, D.D., Liu, T.: Forecasting stock market movement direction using sentiment analysis and support vector machine. IEEE Syst. J. 13(1), 760\u2013770 (2019)","journal-title":"IEEE Syst. J."},{"key":"48_CR4","doi-asserted-by":"publisher","first-page":"50720","DOI":"10.1109\/ACCESS.2018.2869735","volume":"6","author":"X Zhang","year":"2018","unstructured":"Zhang, X., Qu, S., Huang, J., Fang, B., Yu, P.: Stock market prediction via multi-source multiple instance learning. IEEE Access 6, 50720\u201350728 (2018)","journal-title":"IEEE Access"},{"issue":"1","key":"48_CR5","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1257\/089533003321164958","volume":"17","author":"BG Malkiel","year":"2003","unstructured":"Malkiel, B.G.: The efficient market hypothesis and its critics. J. Econ. Perspect. 17(1), 59\u201382 (2003)","journal-title":"J. Econ. Perspect."},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Zhao, L., Wang, L.: Price trend prediction of stock market using outlier data mining algorithm. In: IEEE Fifth International Conference on Big Data and Cloud Computing, pp. 93\u201398 (2015)","DOI":"10.1109\/BDCloud.2015.19"},{"issue":"9","key":"48_CR7","doi-asserted-by":"publisher","first-page":"2250","DOI":"10.1109\/TKDE.2013.184","volume":"26","author":"M Gupta","year":"2014","unstructured":"Gupta, M., Gao, J., Aggarwal, C.C., Han, J.: Outlier detection for temporal data: a survey. IEEE Trans. Knowl. Data Eng. 26(9), 2250\u20132267 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Choudhury, N., Uddin, S.: Anomaly detection on big data in financial markets. In: IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 998\u20131001 (2017)","DOI":"10.1145\/3110025.3119402"},{"key":"48_CR9","doi-asserted-by":"publisher","first-page":"17287","DOI":"10.1109\/ACCESS.2019.2895252","volume":"7","author":"SM Idrees","year":"2019","unstructured":"Idrees, S.M., Alam, M.A., Agarwal, P.: A prediction approach for stock market volatility based on time series data. IEEE Access 7, 17287\u201317298 (2019)","journal-title":"IEEE Access"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Ma, Y., Zhang, Q., Ding, J., Wang, Q., Ma, J.: Short term load forecasting based on iForest-LSTM. In: IEEE Conference on Industrial Electronics and Applications, pp. 2278\u20132282 (2019)","DOI":"10.1109\/ICIEA.2019.8833755"},{"key":"48_CR11","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.1007\/s00181-018-1603-8","volume":"58","author":"L Maciel","year":"2020","unstructured":"Maciel, L.: Technical analysis based on high and low stock prices forecasts: evidence for Brazil using a fractionally cointegrated VAR model. Empirical Econ. 58, 1513\u20131540 (2020)","journal-title":"Empirical Econ."},{"issue":"3","key":"48_CR12","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.knosys.2010.11.001","volume":"24","author":"W Shen","year":"2011","unstructured":"Shen, W., Guo, X., Wu, C., Wu, D.: Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm. Knowl.-Based Syst. 24(3), 378\u2013385 (2011)","journal-title":"Knowl.-Based Syst."},{"key":"48_CR13","unstructured":"Financial Stability Board: Artificial intelligence and machine learning in financial services. Financial Stability Board (2017)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73280-6_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,4]],"date-time":"2021-04-04T08:09:01Z","timestamp":1617523741000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-73280-6_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030732790","9783030732806"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73280-6_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phuket","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}