IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09
IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09
Studies in Big Data 1Wesley W.Chu EditorData Mining and Knowledge Discovery for Big DataMethodologies, Challenge and Opportunities0 SpringerStudies in IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09n Big DataVolume 1Series EditorJanusz Kacprzyk, Warsaw. PolandFor further volumes:http://www.springcr.com/scrics/11970Wesley w. ChuEditorData Mining and KnowledgeDiscovery for Big DataMethodologies, Challenge and OpportunitiesSpringerEditorWesley w. ChitDepartment of Computer ScienceUniversity of Ca IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09liforniaLos AngelesUSAISSN 2197-6503ISSN 2197-6511 (electronic)ISBN 978-3-642-40836-6 ISBN 978-3-642-40837-3 (eBook)DOI 10.1007/978-3-642-40837-3SprinIT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09
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ng entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or pans thereof is permiStudies in Big Data 1Wesley W.Chu EditorData Mining and Knowledge Discovery for Big DataMethodologies, Challenge and Opportunities0 SpringerStudies in IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09d from Springer. Permissions for use may be obtained through Righlsl.ink al the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication docs not imp IT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09ly, even in the absence of a specific statement, that such names arc exempt from the relevant protective laws and regulations and therefore free for gIT training data mining and knowledge discovery for big data methodologies, challenge and opportunities chu 2013 10 09
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