Differentially Private Frequent Sequence Mining

Shengzhi Xu; Xiang Cheng; Sen Su; Ke Xiao; Li Xiong

doi:10.1109/tkde.2016.2601106

Differentially Private Frequent Sequence Mining

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2016.2601106 ◽

2016 ◽

Vol 28 (11) ◽

pp. 2910-2926 ◽

Cited By ~ 8

Author(s):

Shengzhi Xu ◽

Xiang Cheng ◽

Sen Su ◽

Ke Xiao ◽

Li Xiong

Keyword(s):

Sequence Mining ◽

Frequent Sequence

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Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York State

Data Management and Analytics for Medicine and Healthcare - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67186-4_10 ◽

2017 ◽

pp. 121-135 ◽

Cited By ~ 3

Author(s):

Yu Wang ◽

Fusheng Wang

Keyword(s):

New York ◽

Association Rule ◽

New York State ◽

Rule Learning ◽

Sequence Mining ◽

York State ◽

Frequent Sequence

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A Unified Framework for Frequent Sequence Mining with Subsequence Constraints

ACM Transactions on Database Systems ◽

10.1145/3321486 ◽

2019 ◽

Vol 44 (3) ◽

pp. 1-42 ◽

Cited By ~ 2

Author(s):

Kaustubh Beedkar ◽

Rainer Gemulla ◽

Wim Martens

Keyword(s):

Sequence Mining ◽

Unified Framework ◽

Frequent Sequence

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Frequent Sequence Mining in Web Log Data

Advances in Intelligent Systems and Computing - Man-Machine Interactions 5 ◽

10.1007/978-3-319-67792-7_45 ◽

2017 ◽

pp. 459-467 ◽

Cited By ~ 1

Author(s):

Paweł Weichbroth

Keyword(s):

Sequence Mining ◽

Log Data ◽

Web Log ◽

Frequent Sequence

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Frequent sequence mining from massive access log for user’s behaviour investigation

10.22323/1.299.0061 ◽

2017 ◽

Author(s):

Wei Chen ◽

Yan Tong ◽

Jian Zhang ◽

Tao Qin

Keyword(s):

Sequence Mining ◽

Frequent Sequence

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A Unified Approach to Web Usage Mining Based on Frequent Sequence Mining

Lecture Notes in Computer Science - Knowledge-Based Intelligent Information and Engineering Systems ◽

10.1007/978-3-540-74827-4_123 ◽

2007 ◽

pp. 987-994

Author(s):

Nobuhiro Inuzuka ◽

Jun-ichi Hayakawa

Keyword(s):

Web Usage Mining ◽

Sequence Mining ◽

Unified Approach ◽

Frequent Sequence ◽

Web Usage

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Efficient frequent sequence mining by a dynamic strategy switching algorithm

The VLDB Journal ◽

10.1007/s00778-008-0100-7 ◽

2008 ◽

Vol 18 (1) ◽

pp. 303-327 ◽

Cited By ~ 5

Author(s):

Ding-Ying Chiu ◽

Yi-Hung Wu ◽

Arbee L. P. Chen

Keyword(s):

Sequence Mining ◽

Switching Algorithm ◽

Frequent Sequence ◽

Dynamic Strategy

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Maximal frequent sequence mining for finding software clones

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services - iiWAS '16 ◽

10.1145/3011141.3011160 ◽

2016 ◽

Author(s):

Yoshihisa Udagawa

Keyword(s):

Sequence Mining ◽

Frequent Sequence ◽

Software Clones

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Prism: An effective approach for frequent sequence mining via prime-block encoding

Journal of Computer and System Sciences ◽

10.1016/j.jcss.2009.05.008 ◽

2010 ◽

Vol 76 (1) ◽

pp. 88-102 ◽

Cited By ~ 35

Author(s):

Karam Gouda ◽

Mosab Hassaan ◽

Mohammed J. Zaki

Keyword(s):

Sequence Mining ◽

Frequent Sequence

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Social Web Mashups Full Completion via Frequent Sequence Mining

2011 IEEE World Congress on Services ◽

10.1109/services.2011.98 ◽

2011 ◽

Cited By ~ 6

Author(s):

Abderrahmane Maaradji ◽

Hakim Hacid ◽

Ryan Skraba ◽

Athena Vakali

Keyword(s):

Social Web ◽

Sequence Mining ◽

Frequent Sequence

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Frequent Sequence Mining with Weight Constraints in Uncertain Databases

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication - IMCOM '18 ◽

10.1145/3164541.3164627 ◽

2018 ◽

Cited By ~ 5

Author(s):

Md Mahmudur Rahman ◽

Chowdhury F. Ahmed ◽

Carson K. Leung ◽

Adam G.M. Pazdor

Keyword(s):

Sequence Mining ◽

Uncertain Databases ◽

Frequent Sequence

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