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Présentation Mining Sequential Patterns From Large Data Sets de Wang, Wei Format Broché
- Livre Informatique
Résumé :
In many applications, such as bioinformatics, web access traces, and system utilization logs, the data is naturally in the form of sequences. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. To meet the different needs of various applications, several models of sequential patterns have been proposed. This volume not only studies the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. It provides a set of tools for analyzing and understanding the nature of various sequences by identifying the specific model(s) of sequential patterns that are most suitable....
Biographie:
Dr. Chen Gao got his B.E. degree in Flight Vehicle Design and Engineering from Northwestern Polytechnical University (China) in 2015, and Ph.D. degrees in Aerospace Science and Technology from Northwestern Polytechnical University (China) and Polytechnic University of Catalonia (Spain), respectively, in 2022. He is now an Associated Professor at Northwestern Polytechnical University (China) and has been working on different topics of Astrodynamics, including station keeping, solar sailing and formation flying. Dr. Wei Wang received his B.S., M.S. and Ph.D. degrees in Aerospace Engineering from Northwestern Polytechnical University, China, in 2010, 2013 and 2018, respectively. From 2015 to 2017, he has been a visiting scholar in the Department of Civil and Industrial Engineering of the University of Pisa. He is currently an Associate Professor with the School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China. His research interests include astrodynamics, solar sail, electric sail, and spacecraft formation flying....
Sommaire:
Related Work.- Periodic Patterns.- Statistically Significant Patterns.- Approximate Patterns.- Conclusion Remark.
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