"Mining of MicroRNA Expression Data—A Rough Set Approach"

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Book	Author(s)	Year	Publisher
Inhibitory Rules in Data Analysis: A Rough Set Approach	Pawel Delimata; Mikhail Ju. Moshkov; Zbigniew Suraj	2009	Springer Berlin Heidelberg
MicroRNA Expression Detection Methods	Zhiguo Wang; Baofeng Yang	2010	Springer Berlin Heidelberg
Data mining: a heuristic approach /	Abbass, Hussein A.; Sarker, Ruhul A.; Newton, Charles S.	[2002], ©2002.	Information Science Pub.,
Rough Sets and Data Mining: Analysis of Imprecise Data	T.Y. Lin; N. Cercone	1997	Springer US
Combinatorial Machine Learning: A Rough Set Approach	Mikhail Moshkov; Beata Zielosko	2011	Springer Berlin Heidelberg
Knowledge Representation Techniques: A Rough Set Approach	Patrick Doherty; Witold Lukaszewicz; Andrzej Szalas	2006	Springer Berlin Heidelberg
Intrusion Detection: A Data Mining Approach	Nandita Sengupta; Jaya Sil	1st ed. 2020	Springer Nature Singapore
Data Mining: A Knowledge Discovery Approach	Krzysztof J. Cios; Roman W. Swiniarski; Witold Pedrycz; Lukasz A. Kurgan	2007	Springer US
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman and Hall/CRC
Clustering for Data Mining: A Data Recovery Approach	Boris Mirkin	2005	Chapman & Hall – CRC
Data Mining, Rough Sets and Granular Computing	Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh	2002	Physica-Verlag HD
MicroRNA: expression, detection, and therapeutic strategies	Mulligan, James A.	2011	Nova Science
Rough Set Theory: A True Landmark in Data Analysis	Ajith Abraham; Rafael Falcón; Rafael Bello	2009	Springer Berlin Heidelberg
Visual data mining: the VisMiner approach	Russell K. Anderson	2012	Wiley
Data and text mining: a business applications approach	Thomas W. Miller	2004	Pearson Prentice-Hall
Rough – Granular Computing in Knowledge Discovery and Data Mining	J. Stepaniuk	2008	Springer Berlin Heidelberg
Data Mining for Genomics and Proteomics: Analysisof Gene and Protein Expression Data	Darius M. Dziuda	2010	John Wiley & Sons
Semantic data mining: an ontology-based approach /	Ławrynowicz, Agnieszka,		IOS Press, Incorporated
Uncertainty Modeling for Data Mining: A Label Semantics Approach	Zengchang Qin; Yongchuan Tang	2014	Springer Berlin Heidelberg
Next-Generation MicroRNA Expression Profiling Technology: Methods and Protocols	Jian-Bing Fan	2012	Humana Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Mining of MicroRNA Expression Data—A Rough Set Approach	Jianwen Fang; Jerzy W. Grzymala-Busse	Rough Sets and Knowledge Technology: First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings	James F. Peters; Yiju Yao	2006	Springer Berlin Heidelberg
Mining Incomplete Data—A Rough Set Approach	Jerzy W. Grzymala-Busse; Zdzislaw S. Hippe	Emerging Paradigms in Machine Learning	Sheela Ramanna; Lakhmi C Jain; Robert J. Howlett	2013	Springer Berlin Heidelberg
Data Mining: A Probabilistic Rough Set Approach	Ning Zhong; Ju-Zhen Dong; Setsuo Ohsuga	Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems	Lech Polkowski	1998	Physica-Verlag HD
Mining Numerical Data—A Rough Set Approach	Jerzy W. Grzymala-Busse	Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings	Marzena Kryszkiewicz; James F. Peters; Henryk Rybinski; Andrzej Skowron	2007	Springer Berlin Heidelberg
Mining Numerical Data – A Rough Set Approach	Jerzy W. Grzymala-Busse	Transactions on Rough Sets XI	James F. Peters	2010	Springer Berlin Heidelberg
Mining Incomplete Data—A Rough Set Approach	Jerzy W. Grzymała-Busse	Rough Set and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings	JingTao Yao; Sheela Ramanna; Guoyin Wang; Zbigniew Suraj	2011	Springer Berlin Heidelberg
Data Mining — a Rough Set Perspective	Zdzisław Pawlak	Methodologies for Knowledge Discovery and Data Mining: Third Pacific-Asia Conference, PAKDD' 99, Beijing, China, April 26-28, 1999, Proceedings	Ning Zhong; Lizhu Zhou	1999	Springer Berlin Heidelberg
Rough set data mining of diabetes data	Jaroslaw Stepaniuk	Foundations of Intelligent Systems: 11th International Symposium, ISMIS' 99, Warsaw, Poland, June 8-11, 1999, Proceedings	Zbigniew W. Ras	1999	Springer Berlin Heidelberg
Data Filtration: A Rough Set Approach	Andrzej Skowron	Rough Sets, Fuzzy Sets and Knowledge Discovery: Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD’93), Banff, Alberta, Canada, 12–15 October 1993	Wojciech P. Ziarko	1994	Springer London
Mining Numerical Data—A Rough Set Approa		Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007. Proceedings	Lotfi A. Zadeh (auth.), Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski, Andrzej Skowron (eds.)	2007	Springer-Verlag Berlin Heidelberg
Leukemia Prediction from Gene Expression Data—A Rough Set Approach	Jianwen Fang; Jerzy W. Grzymala-Busse	Artificial Intelligence and Soft Computing – ICAISC 2006: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings	Leszek Rutkowski; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek Zurada	2006	Springer Berlin Heidelberg
A Rough Set Approach to Incomplete Data	Jerzy W. Grzymala-Busse	Rough Sets and Knowledge Technology: 10th International Conference, RSKT 2015, Held as Part of the International Joint Conference on Rough Sets, IJCRS 2015, Tianjin, China, November 20-23, 2015, Proceedings	Davide Ciucci; Guoyin Wang; Sushmita Mitra; Wei-Zhi Wu	1st ed. 2015	Springer International Publishing
Rough Set Approach to Incomplete Data	Jerzy W. Grzymala-Busse	Artificial Intelligence and Soft Computing — ICAISC 2004: 7th International Conference Zakopane, Poland, June 7–11, 2004 Proceedings	Leszek Rutkowski; Jörg Siekmann; Ryszard Tadeusiewicz; Lotfi A. Zadeh	2004	Springer Berlin Heidelberg
Rough Set Approach to Incomplete Data		Artificial Intelligence and Soft Computing -- Icaisc 2004	Rutkowski L. (Ed), Zadeh L. A. (Ed)	2004	Springer
A Rough Set Approach to Online Customer’s Review Mining	Wei Wang; Huan Yuan; Ye Chen; Ping Yang; Leilei Ni; Yu Li	Advances in Computer Science and Information Engineering: Volume 1	David Jin; Sally Lin	2012	Springer Berlin Heidelberg
Mining Knowledge Rules from Databases: A Rough Set Approach	X. Hu and N. Cercone	Proceedings of the twelfth International Conference on Data Engineering, February 26-March 1, 1996, New Orleans, Louisiana /	Su, Stanley Y. W.	[1996], ©1996.	IEEE Computer Society Press,
A Novel Data Mining Algorithm Based on Rough Set	Yufeng Yao	Software Engineering and Knowledge Engineering: Theory and Practice: Volume 1	Yanwen Wu	2012	Springer Berlin Heidelberg
Rough Set Approach for Categorical Data Clustering	Tutut Herawan; Iwan Tri Riyadi Yanto; Mustafa Mat Deris	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
Fuzzy-Rough Data Mining	Richard Jensen	Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings	Sergei O. Kuznetsov; Dominik Ślęzak; Daryl H. Hepting; Boris G. Mirkin	2011	Springer Berlin Heidelberg
Rough Set Theory with Applications to Data Mining	J.W. Grzymala-Busse	Real World Applications of Computational Intelligence	Mircea Gh. Negoita; Bernd Reusch	2005	Springer Berlin Heidelberg
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