System Informatics: From Methodology to Applications

IEEE Intelligent Systems

Volumn 30, Issue 6, 2015, Pages 12-29

  Zhao, Kang ^a   Xie, Yao ^b   Tsui, Kwok Leung ^c   Wei, Qingming ^d   Huang, Wenpo ^d   Jiang, Wei ^d   Li, Yanting ^d   Cho, Sugon ^e   Kim, Seoung Bum ^e   Liu, Kaibo ^f   Shi, Jianjun ^b   Jeong, Young Seon ^g   Kim, Byunghoon ^h   Tong, Seung Hoon ⁱ   Chang, In Kap ^j   Jeong, Myong K ^j   Charruaud, Florent ^c   Li, Lishuai ^c  

^a UNIVERSITY OF IOWA   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

^e Korea University   (South Korea)

^f UNIVERSITY OF WISCONSIN MADISON   (United States)

^g Chonnam National University   (South Korea)

^h Korea Institute of Science and Technology Information (KISTI)   (South Korea)

ⁱ SAMSUNG Electronics   (South Korea)

^j RUTGERS UNIVERSITY   (United States)

more..

Author keywords

after sales service and support; complex systems; data analytics; intelligent systems; Internet of Things; projection; real time monitoring; service decision making; system informatics

Indexed keywords

AIR TRANSPORTATION; CLUSTER ANALYSIS; COMPUTER AIDED DIAGNOSIS; DECISION MAKING; INDUSTRIAL RESEARCH; INFORMATION SCIENCE; INTELLIGENT SYSTEMS; INTERNET OF THINGS; LARGE SCALE SYSTEMS; PROCESS CONTROL; PROCESS MONITORING; REAL TIME SYSTEMS; SEMICONDUCTOR DEVICE MANUFACTURE; SILICON WAFERS;

AFTER-SALES SERVICES; DATA ANALYTICS; PROJECTION; REAL TIME MONITORING; SYSTEM INFORMATICS;

BIG DATA;

EID: 84960845090     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2015.111     Document Type: Article

References (5)

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3. S. Das et al., "Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study," Proc. 16th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, 2010, pp. 47-56.
4. L. Li et al. "Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations," to appear in J. Aerospace Information Systems, 2015, DOI: 10.2514/1.I010329.
5. L. Li, "Anomaly Detection in Airline Routine Operations Using Flight Data Recorder Data," PhD thesis, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, 2013.