"Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware"

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Book	Author(s)	Year	Publisher
Energy Efficient Hardware-Software Co-Synthesis Using Reconfigurable Hardware	Jingzhao Ou; Viktor K. Prasanna	2009	Routledge
Data mining in biomedicine using ontologies	Mihail Popescu, Dong Xu	2009	Artech
Cryptographic Algorithms on Reconfigurable Hardware	Francisco Rodriguez-Henriquez; N.A. Saqib; Arturo Díaz Pérez; Cetin Kaya Koc	2007	Springer US
Frequent Pattern Mining	Charu C. Aggarwal; Jiawei Han	2014	Springer International Publishing
Data Mining Using SAS Applications	George Fernandez (auth.)	2003	Springer US
Decision Support Using Data Mining	Sarabot S. Anand; Alex G. Buchner	December 1, 1998	Trans-Atlantic Publications;Financial Times Management
Data Preparation for Data Mining Using SAS	Mamdouh Refaat	2007	Morgan Kaufmann
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams	A. Bifet	2010	IOS Press
Energy Efficient Hardware - Software Co-Synthesis Using Reconfigurable Hardware (Chapman & Hall/Crc Computer & Information Science Series)	Jingzhao Ou	May 26, 2009	Chapman & Hall/CRC
Data Mining Algorithms: Explained Using R	Pawel Cichosz	2015	Wiley Data and Cybersecurity
Statistical Data Mining Using SAS Applications	George Fernandez	2011	Routledge
Trustworthy Reconfigurable Systems: Enhancing the Security Capabilities of Reconfigurable Hardware Architectures	Thomas Feller	2014	Springer Fachmedien Wiesbaden
Hardware Evolution: Automatic Design of Electronic Circuits in Reconfigurable Hardware by Artificial Evolution	Dr Adrian Thompson (auth.)	1998	Springer-Verlag London
Hardware Evolution: Automatic Design of Electronic Circuits in Reconfigurable Hardware by Artificial Evolution	Adrian Thompson	1998	Springer London
Data Mining Applications Using Artificial Adaptive Systems	William J. Tastle	2013	Springer New York
Data Mining Using SAS(R) Enterprise Miner	Randall Matignon	2007	John Wiley & Sons
Data Mining and Statistical Analysis Using SQL	Robert P. Trueblood; John N. Lovett	1st ed.	Apress
Data Mining Using SAS Applications (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)	George Fernandez	2002	Chapman and Hall\/CRC
Reconfigurable Computing: From FPGAs to Hardware/Software Codesign	Joao Cardoso; Michael Hübner	2011	Springer New York
Hardware virtualization on a coarse-grained reconfigurable processor	Christian Plessl	2006	Shaker
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Frequent Itemsets Mining in Data Streams Using Reconfigurable Hardware	Lázaro Bustio; René Cumplido; Raudel Hernández; José M. Bande; Claudia Feregrino	New Frontiers in Mining Complex Patterns: 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers	Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew W. Ras	1st ed. 2016	Springer International Publishing
MFIS—Mining Frequent Itemsets on Data Streams	Zhi-jun Xie; Hong Chen; Cuiping Li	Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi' an, China, August 14-16, 2006, Proceedings	Xue Li; Osmar R. Zaiane; Zhanhuai Li	2006	Springer Berlin Heidelberg
Efficient Mining of Frequent Itemsets from Data Streams	Carson Kai-Sang Leung; Dale A. Brajczuk	Sharing Data, Information and Knowledge: 25th British National Conference on Databases, BNCOD 25, Cardiff, UK, July 7-10, 2008, Proceedings	Alexander Gray; Keith G. Jeffery; Jianhua Shao	2008	Springer Berlin Heidelberg
CFI-stream: mining closed frequent itemsets in data streams	N. Jiang and L. Gruenwald	KDD-2006: proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 20-23, 2006, Philadelphia, PA, USA /	Ungar, Lyle.; Craven, Mark.; Gunopulos, Dimitrios,; Eliassi-Rad, Tina.	2006.	ACM Press,
Mining Discriminative Itemsets in Data Streams	Majid Seyfi; Shlomo Geva; Richi Nayak	Web Information Systems Engineering -- WISE 2014: 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I	Boualem Benatallah; Azer Bestavros; Yannis Manolopoulos; Athena Vakali; Yanchun Zhang	2014	Springer International Publishing
Mining Approximate Frequent Itemsets over Data Streams Using Window Sliding Techniques	Younghee Kim; Eunkyoung Park; Ungmo Kim	Database Theory and Application: International Conference, DTA 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009, Proceedings	Dominik Slezak; Yanchun Zhang	2009	Springer Berlin Heidelberg
Using Bloom Filters for Mining Top-k Frequent Itemsets in Data Streams	Younghee Kim; Kyungsoo Cho; Jaeyeol Yoon; Ieejoon Kim; Ungmo Kim	Secure and Trust Computing, Data Management, and Applications: 8th FIRA International Conference, STA 2011, Loutraki, Greece, June 28-30, 2011. Proceedings, Part I	James J. (Jong Hyuk) Park; Javier Lopez; Sang-Soo Yeo; Taeshik Shon; David Taniar	2011	Springer Berlin Heidelberg
Data Projection Effects in Frequent Itemsets Mining	Mohammad Arsyad Mohd Yakop; Sofianita Mutalib; Shuzlina Abdul-Rahman	Soft Computing in Data Science: First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings	Michael W. Berry; Azlinah Mohamed; Bee Wah Yap	1st ed. 2015	Springer Nature Singapore
Mining Frequent Itemsets from Uncertain Data	Chun-Kit Chui; Ben Kao; Edward Hung	Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings	Zhi-Hua Zhou; Hang Li; Qiang Yang	2007	Springer Berlin Heidelberg
Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors	Ming-Yen Lin; Sue-Chen Hsueh; Sheng-Kun Hwang	Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings	Wee Keong Ng; Masaru Kitsuregawa; Jianzhong Li	2006	Springer Berlin Heidelberg
Frequent Pattern Mining in Data Streams	Victor E. Lee; Ruoming Jin; Gagan Agrawal	Frequent Pattern Mining	Charu C. Aggarwal; Jiawei Han	2014	Springer International Publishing
Frequent Pattern Mining in Data Streams	Ruoming Jin; Gagan Agrawal	Data Streams: Models and Algorithms	Charu C. Aggarwal	2007	Springer US
Frequent Pattern Mining in Data Streams		Data Streams Models and Algorithms	Charu C. Aggarwal (ed.)	2007	Springer
SuffixMiner: Efficiently Mining Frequent Itemsets in Data Streams by Suffix-Forest	Lifeng Jia; Chunguang Zhou; Zhe Wang; Xiujuan Xu	Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II	Lipo Wang; Yaochu Jin	2005	Springer Berlin Heidelberg
FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams	Younghee Kim; Joonsuk Ryu; Ungmo Kim	Neural Information Processing: 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part I	Chi-Sing Leung; Minho Lee; Jonathan H. Chan	2009	Springer Berlin Heidelberg
Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments	Juan J. Cameron; Alfredo Cuzzocrea; Fan Jiang; Carson K. Leung	Web-Age Information Management: 14th International Conference, WAIM 2013, Beidaihe, China, June 14-16, 2013. Proceedings	Jianyong Wang; Hui Xiong; Yoshiharu Ishikawa; Jianliang Xu; Junfeng Zhou	2013	Springer Berlin Heidelberg
Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy	Lifeng Jia; Zhe Wang; Chunguang Zhou; Xiujuan Xu	Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings	Xue Li; Shuliang Wang; Zhao Yang Dong	2005	Springer Berlin Heidelberg
Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree	Fujiang Ao; Yuejin Yan; Jian Huang; Kedi Huang	Machine Learning and Data Mining in Pattern Recognition: 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings	Petra Perner	2007	Springer Berlin Heidelberg
Uncertain Frequent Itemsets Mining Algorithm on Data Streams with Constraints	Qun Yu; Ke-Ming Tang; Shi-Xi Tang; Xin Lv	Intelligent Data Engineering and Automated Learning – IDEAL 2016: 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings	Hujun Yin; Yang Gao; Bin Li; Daoqiang Zhang; Ming Yang; Yun Li; Frank Klawonn; Antonio J. Tallón-Ballesteros	1st ed. 2016	Springer International Publishing
Frequent Itemsets in Data Streams Using Dynamically Generated Minimum Support	Shankar B. Naik; Jyoti D. Pawar	Proceedings of the 2nd International Conference on Data Engineering and Communication Technology: ICDECT 2017	Anand J. Kulkarni; Suresh Chandra Satapathy; Tai Kang; Ali Husseinzadeh Kashan	1st ed. 2019	Springer Nature Singapore
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