<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>d644214b-2da5-4277-8ac9-50ab6451ee93</doi_batch_id><timestamp>20210310050503431</timestamp><depositor><depositor_name>naun</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>International Journal of Education and Information Technologies</full_title><issn media_type="electronic">2074-1316</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.46300/9109</doi><resource>http://www.naun.org/cms.action?id=3037</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>4</month><day>30</day><year>2020</year></publication_date><publication_date media_type="print"><month>4</month><day>30</day><year>2020</year></publication_date><journal_volume><volume>14</volume><doi_data><doi>10.46300/9109.2020.14</doi><resource>http://www.naun.org/cms.action?id=23206</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Machine Learning and Data mining on the innovation of E-sports industry</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Yiqing</given_name><surname>Chen</surname><affiliation>SKEMA Business School Paris, France</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Jie</given_name><surname>Mei</surname><affiliation>SKEMA Business School Paris, France</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Steward</given_name><surname>Huang</surname><affiliation>SKEMA Business School Paris, France</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>AI technology brings many revolutionary innovation opportunities to the e-sports industry. With the help of data mining, we can analyze the advantages and disadvantages of competitors, and predict the trend of the situation in the future. With the help of the agent created by intensive in-depth learning, it can assist players of different levels to carry out routine training, so as to improve the overall activity of the game. With the help of AI's big data advantage, AI can assist E-sports teaching to regard E-sports specialty as an experimental platform for using cutting-edge technology to reform and innovate traditional education and provide forward-looking guidance for future education. This paper uses CNN, LSTM, and LSTM + CNN three model to predict the outcome of the game according to the heroes selected by both teams, and has achieved good prediction results.</jats:p></jats:abstract><publication_date media_type="online"><month>11</month><day>24</day><year>2020</year></publication_date><publication_date media_type="print"><month>11</month><day>24</day><year>2020</year></publication_date><pages><first_page>121</first_page><last_page>132</last_page></pages><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2020-11-24"/><ai:license_ref applies_to="am" start_date="2020-11-24">https://www.naun.org/main/NAUN/educationinformation/2020/a302008-015(2020).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.46300/9109.2020.14.15</doi><resource>https://www.naun.org/main/NAUN/educationinformation/2020/a302008-015(2020).pdf</resource></doi_data><citation_list><citation key="ref0"><unstructured_citation>Xia  Yuhui. 2018. “Analysis on the Influencing Factors of the Standardization Development of E-Sports in China.” Advances in Social Sciences 07(02):118–22. </unstructured_citation></citation><citation key="ref1"><unstructured_citation>Newzoo  2020,  Global  Esports  Market  Report:  January  2020. 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