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The PSI semantic validator: A framework to check MIAPE compliance of proteomics dataMONTECCHI-PALAZZI, Luisa; KERRIEN, Samuel; REISINGER, Florian et al.Proteomics (Weinheim. Print). 2009, Vol 9, Num 22, pp 5112-5119, issn 1615-9853, 8 p.Article

A generalized algebraic approach to finding rough set approximations and generating logic rulesSITNIKOV, D; RYABOV, O; TITOVA, O et al.WIT transactions on information and communication technologies. 2007, Vol vol. 38, pp 3-12, issn 1746-4463, isbn 978-1-8456-4081-1 1-8456-4081-0, 1Vol, 10 p.Conference Paper

Implications of frequent subtree mining using hybrid support definitionHADZIC, F; TAN, H; DILLON, T. S et al.WIT transactions on information and communication technologies. 2007, Vol vol. 38, pp 13-23, issn 1746-4463, isbn 978-1-8456-4081-1 1-8456-4081-0, 1Vol, 11 p.Conference Paper

Identifying the signs of fraudulent accounts using data mining techniquesLI, Shing-Han; YEN, David C; LU, Wen-Hui et al.Computers in human behavior. 2012, Vol 28, Num 3, pp 1002-1013, issn 0747-5632, 12 p.Article

Recent developments in public proteomic MS repositories and pipelinesMEAD, Jennifer A; BIANCO, Luca; BESSANT, Conrad et al.Proteomics (Weinheim. Print). 2009, Vol 9, Num 4, pp 861-881, issn 1615-9853, 21 p.Article

Design exploration of three-dimensional transverse jet in a supersonic crossflow based on data mining and multi-objective design optimization approachesWEI HUANG.International journal of hydrogen energy. 2014, Vol 39, Num 8, pp 3914-3925, issn 0360-3199, 12 p.Article

Protein Information and Knowledge Extractor: Discovering biological information from proteomics dataMEDINA-AUNON, J. Alberto; PARADELA, Alberto; MACHT, Marcus et al.Proteomics (Weinheim. Print). 2010, Vol 10, Num 18, pp 3262-3271, issn 1615-9853, 10 p.Article

Efficient classification across multiple database relations : A crossmine approachXIAOXIN YIN; JIAWEI HAN; JIONG YANG et al.IEEE transactions on knowledge and data engineering. 2006, Vol 18, Num 6, pp 770-783, issn 1041-4347, 14 p.Article

Data-driven ESP modelling and optimisationTOIMIL, Daniel; GOMEZ, Alberto; ANDRES, Sara M et al.Journal of aerosol science. 2014, Vol 70, pp 59-66, issn 0021-8502, 8 p.Article

Towards generic pattern miningZAKI, Mohammed J; DE, Nilanjana; FENG GAO et al.Lecture notes in computer science. 2005, pp 91-97, issn 0302-9743, isbn 3-540-30506-8, 1Vol, 7 p.Conference Paper

Analyzing bearing faults in wind turbines: A data-mining approachKUSIAK, Andrew; VERMA, Anoop.Renewable energy. 2012, Vol 48, pp 110-116, issn 0960-1481, 7 p.Article

Theory and support for process frameworks of knowledge discovery and data mining from ERP systemsBENDOLY, Elliot.Information & management. 2003, Vol 40, Num 7, pp 639-647, issn 0378-7206, 9 p.Article

Advances in data mining (applications in medicine, web mining, marketing, image and signal mining)Perner, Petra.Lecture notes in computer science. 2006, issn 0302-9743, isbn 3-540-36036-0, 1Vol, XI-592 p, isbn 3-540-36036-0Conference Proceedings

Mining what others missEHRENMAN, Gayle.Mechanical engineering (New York, N.Y. 1919). 2005, Vol 127, Num 2, pp 26-31, issn 0025-6501, 6 p.Article

Data mining (theory, methodology, techniques, and applications)Williams, Graham J; Simoff, Simeon J.Lecture notes in computer science. 2006, issn 0302-9743, isbn 3-540-32547-6, 1Vol, XI-329 p, isbn 3-540-32547-6Book

Data mining VII (data, text, and web mining and their business applications)Zanasi, A; Brebbia, C. A; Ebecken, Nelson F. F et al.WIT transactions on information and communication technologies. 2006, Vol v. 37, issn 1746-4463, isbn 1-8456-4178-7 978-1-8456-4178-8, 1Vol, 460 p., isbn 1-8456-4178-7 978-1-8456-4178-8Conference Proceedings

A framework for database miningGUPTA, H; MCLAREN, I; VELLA, A et al.Lecture notes in computer science. 1997, pp 121-122, issn 0302-9743, isbn 3-540-63263-8Conference Paper

RAMOBoost: Ranked Minority Oversampling in BoostingSHENG CHEN; HAIBO HE; GARCIA, Edwardo A et al.IEEE transactions on neural networks. 2010, Vol 21, Num 10, pp 1624-1642, issn 1045-9227, 19 p.Article

On Selecting The Number Of Bins For A HistogramGOPAL LOLLA, Sai Venu; HOBEROCK, Lawrence L.Data mining. International conferenceWorldComp'2011. 2011, pp 344-350, isbn 1-60132-168-6, 7 p.Conference Paper

WHIDE—a web tool for visual data mining colocation patterns in multivariate bioimagesKÖLLING, Jan; LANGENKÄMPER, Daniel; ABOUNA, Sylvie et al.Bioinformatics (Oxford. Print). 2012, Vol 28, Num 8, pp 1143-1150, issn 1367-4803, 8 p.Article

An empirical investigation of factors influencing the adoption of data mining toolsHUANG, Cheng-Kui; LIU, Chuang-Chun; CHANG, Dong-Cheng et al.International journal of information management. 2012, Vol 32, Num 3, pp 257-270, issn 0268-4012, 14 p.Article

Power optimization of wind turbines with data mining and evolutionary computationKUSIAK, Andrew; HAIYANG ZHENG; ZHE SONG et al.Renewable energy. 2010, Vol 35, Num 3, pp 695-702, issn 0960-1481, 8 p.Article

Episode-based conceptual mining of large health collectionsSEMENOVA, Tatiana.Lecture notes in computer science. 2003, pp 579-581, issn 0302-9743, isbn 3-540-20299-4, 3 p.Conference Paper

Data mining spatial un probleme de data mining multi-tables = Spatial data mining, a problem of multitables data miningCHELGHOUM, Nadjim; ZEITOUNI, Karine.RIST. 2004, Vol 14, Num 2, issn 1111-0015, 5-6, 11-12, 129-145 [21 p.]Article

An introduction to the generalised theory of data scatterDOYLE, G; MCMILLAN, N. D; MURTAGH, F et al.Proceedings of SPIE, the International Society for Optical Engineering. 2005, pp 258-268, issn 0277-786X, isbn 0-8194-5808-2, 1Vol, 11 p.Conference Paper

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