"Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database"

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Book	Author(s)	Year	Publisher
Frequent Pattern Mining	Charu C. Aggarwal; Jiawei Han	2014	Springer International Publishing
Optimal Database Marketing: Strategy, Development, and Data Mining	Ronald G Drozdenko; Perry D Drake	March 2002	SAGE Publications, Inc
Optimal database marketing: strategy, development, and data mining /	Drozdenko, Ronald G.; Drake, Perry D.	[2002], ©2002.	Sage Publications,
Judex: a serial in twelve episodes /	Feuillade, Louis,; Bernède, Arthur.; Glatti, André.; Klausse, Léon.; Cresté, René.; Leubas, Louis.; Andréyor, Yvette.; Mathé, Edouard,; Musidora.; Levesque, Marcel,; Israel, Robert.; Horak, Jan-Christopher.	2004.	Flicker Alley, LLC,
Temporal Data Mining	Theophano Mitsa	2010	Routledge
Temporal and spatio-temporal data mining	Wynne Hsu; Wynne Hsu; Mong Li Lee; Junmei Wang	2008	Idea Group Pub.
Temporal data,temporal data models,temporal data languages and temporal database systems	Donald Dokeung Hom	1988
Efficient Test Methodologies for High-Speed Serial Links	Dongwoo Hong; Kwang-Ting Cheng	2010	Springer Netherlands
Strategy in Airline Loyalty: Frequent Flyer Programs	Evert R. de Boer	1st ed. 2018	Springer International Publishing
Spatio-temporal Design - Advances in Efficient Data Acquisition	Jorge Mateu; Werner G. Müller	2012	John Wiley & Sons
Mining Spatio-Temporal Information Systems	Roy Ladner; Kevin Shaw; Mahdi Abdelguerfi	2002	Springer US
Developing Multi-Database Mining Applications	Animesh Adhikari; Pralhad Ramachandrarao; Witold Pedrycz	2010	Springer London
Developing multi-database mining applications	Animesh Adhikari	2010	Springer
Efficient parallel and serial approximate string matching	Gad M. Landau	1986	Courant Institute of Mathematical Sciences, New York University
Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories	Berkay Aydin; Rafal. A Angryk	1st ed. 2018	Springer International Publishing
Time Granularities in Databases, Data Mining, and Temporal Reasoning	Claudio Bettini; Sushil Jajodia; Sean Wang	2000	Springer Berlin Heidelberg
Infopartnering: the ultimate strategy for achieving efficient consumer response	Andre J. Martin	1994	John Wiley
Temporal Data Mining via Unsupervised Ensemble Learning	Yun Yang	2017	Elsevier
Mining in the Himalayas: An Integrated Strategy	A.K. Soni	2016	Routledge
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries	Rosa Meo; Pier L. Lanzi; Mika Klemettinen	2004	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database	Kuo-Yu Huang; Chia-Hui Chang	Frontiers of WWW Research and Development -- APWeb 2006: 8th Asia-Pacific Web Conference, Harbin, China, January 16-18, 2006, Proceedings	Xiaofang Zhou; Jianzhong Li; Heng Tao Shen; Masaru Kitsuregawa; Yanchun Zhang	2006	Springer Berlin Heidelberg
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences	Thomas Guyet; Wenbin Zhang; Albert Bifet	Computational Science – ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022, Proceedings, Part I	Derek Groen; Clélia de Mulatier; Maciej Paszynski; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot	1st ed. 2022	Springer International Publishing
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns	Steffen Kempe; Jochen Hipp; Rudolf Kruse	Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e. V. , Albert-Ludwigs-Universität Freiburg, March 7-9, 2007	Christine Preisach; Hans Burkhardt; Lars Schmidt-Thieme; Reinhold Decker	2008	Springer Berlin Heidelberg
Temporal Frequent Itemset Mining		Data Mining for Retail Website Design and Enhanced Marketing	Asem Omari	2008	VDM Verlag
Two-Phase Mining for Frequent Closed Episodes	Guoqiong Liao; Xiaoting Yang; Sihong Xie; Philip S. Yu; Changxuan Wan	Web-Age Information Management: 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I	Bin Cui; Nan Zhang; Jianliang Xu; Xiang Lian; Dexi Liu	1st ed. 2016	Springer International Publishing
EFP-M2: Efficient Model for Mining Frequent Patterns in Transactional Database	Tutut Herawan; A. Noraziah; Zailani Abdullah; Mustafa Mat Deris; Jemal H. Abawajy	Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part II	Ngoc Thanh Nguyen; Kiem Hoang; Piotr Jedrzejowicz	2012	Springer Berlin Heidelberg
Mining Frequent Itemsets in Evidential Database	Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia	Knowledge and Systems Engineering: Proceedings of the Fifth International Conference KSE 2013, Volume 2	Van Nam Huynh; Thierry Denoeux; Dang Hung Tran; Anh Cuong Le; Son Bao Pham	2014	Springer International Publishing
TKE: Mining Top-K Frequent Episodes	Philippe Fournier-Viger; Yanjun Yang; Peng Yang; Jerry Chun-Wei Lin; Unil Yun	Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices: 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings	Hamido Fujita; Philippe Fournier-Viger; Moonis Ali; Jun Sasaki	1st ed. 2020	Springer International Publishing
DFP-Growth: An Efficient Algorithm for Mining Frequent Patterns in Dynamic Database	Zailani Abdullah; Tutut Herawan; A. Noraziah; Mustafa Mat Deris	Information Computing and Applications: Third International Conference, ICICA 2012, Chengde, China, September 14-16, 2012, Revised Selected Papers	Baoxiang Liu; Maode Ma; Jincai Chang	2012	Springer Berlin Heidelberg
Efficient Frequent Itemsets Mining bySampling		Advances in Intelligent IT	Y. Li, M. Looi, N. Zhong	2006	IOS Press
Memory Efficient Frequent Itemset Mining	Nima Shahbazi; Rohollah Soltani; Jarek Gryz	Machine Learning and Data Mining in Pattern Recognition: 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part II	Petra Perner	1st ed. 2018	Springer International Publishing
An Efficient Approach for Mining Frequent Subgraphs	Tahira Alam; Sabit Anwar Zahin; Md. Samiullah; Chowdhury Farhan Ahmed	Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings	B. Uma Shankar; Kuntal Ghosh; Deba Prasad Mandal; Shubhra Sankar Ray; David Zhang; Sankar K. Pal	1st ed. 2017	Springer International Publishing
Mining Frequent Items in Spatio-temporal Databases	Cheqing Jin; Fang Xiong; Joshua Zhexue Huang; Jeffrey Xu Yu; Aoying Zhou	Advances in Web-Age Information Management: 5th International Conference, WAIM 2004, Dalian, China, July 15-17, 2004, Proceedings	Quing Li; Guoren Wang; Ling Feng	2004	Springer Berlin Heidelberg
Mining Frequent Diamond Episodes from Event Sequences	Takashi Katoh; Kouichi Hirata; Masateru Harao	Modeling Decisions for Artificial Intelligence: 4th International Conference, MDAI 2007, Kitakyushu, Japan, August 16-18, 2007, Proceedings	Yasuo Narukawa; Yuji Yoshida	2007	Springer Berlin Heidelberg
Mining Frequent Partite Episodes with Partwise Constraints	Takashi Katoh; Shin-ichiro Tago; Tatsuya Asai; Hiroaki Morikawa; Junichi Shigezumi; Hiroya Inakoshi	New Frontiers in Mining Complex Patterns: Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers	Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew W. Ras	2014	Springer International Publishing
An Iterative Method for Mining Frequent Temporal Patterns	Francisco Guil; Antonio Bailón; Alfonso Bosch; Roque Marín	Computer Aided Systems Theory – EUROCAST 2005: 10th International Conference on Computer Aided Systems Theory, Las Palmas de Gran Canaria, Spain, February 7-11, 2005, Revised Selected Papers	Roberto Moreno-Díaz; Franz Pichler; Alexis Quesada Arencibia	2005	Springer Berlin Heidelberg
iTM: An Efficient Algorithm for Frequent Pattern Mining in the Incremental Database without Rescanning	Bi-Ru Dai; Pai-Yu Lin	Next-Generation Applied Intelligence: 22nd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings	Been-Chian Chien; Tzung-Pei Hong; Moonis Ali	2009	Springer Berlin Heidelberg
Efficient Mining Regularly Frequent Patterns in Transactional Databases	Md. Mamunur Rashid; Md. Rezaul Karim; Byeong-Soo Jeong; Ho-Jin Choi	Database Systems for Advanced Applications: 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-18, 2012, Proceedings, Part I	Sang-goo Lee; Zhiyong Peng; Xiaofang Zhou; Yang-Sae Moon; Rainer Unland; Jaesoo Yoo	2012	Springer Berlin Heidelberg
Mining Frequent k-Partite Episodes from Event Sequences	Takashi Katoh; Hiroki Arimura; Kouichi Hirata	New Frontiers in Artificial Intelligence: JSAI-isAI 2009 Workshops, LENLS, JURISIN, KCSD, LLLL, Tokyo, Japan, November 19-20, 2009, Revised Selected Papers	Elin McCready; Kumiyo Nakakoji; Yohei Murakami	2010	Springer Berlin Heidelberg
Mining Frequent Episodes for Relating Financial Events and Stock Trends	Anny Ng; Ada Wai-chee Fu	Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference, PAKDD 2003. Seoul, Korea, April 30 - May 2, 2003, Proceedings	Kyu-Young Whang; Jongwoo Jeon; Kyuseok Shim; Jaideep Srivatava	2003	Springer Berlin Heidelberg
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