Data Semantics Meets Knowledge Discovery in Databases
暂无分享,去创建一个
Claudia Diamantini | Domenico Potena | Emanuele Storti | C. Diamantini | D. Potena | Emanuele Storti
[1] María S. Pérez-Hernández,et al. Design and implementation of a data mining grid-aware architecture , 2007, Future Gener. Comput. Syst..
[2] Ian J. Taylor,et al. Web services composition for distributed data mining , 2005, 2005 International Conference on Parallel Processing Workshops (ICPPW'05).
[3] Nada Lavrac,et al. Orange4WS Environment for Service-Oriented Data Mining , 2012, Comput. J..
[4] Le Gruenwald,et al. A survey of data mining and knowledge discovery software tools , 1999, SKDD.
[5] Abraham Bernstein,et al. Towards Intelligent Assistance for a Data Mining Process , 2005 .
[6] Li Yu-hua,et al. Data mining ontology development for high user usability , 2008, Wuhan University Journal of Natural Sciences.
[7] Gregory Piatetsky-Shapiro,et al. Knowledge Discovery in Real Databases: A Report on the IJCAI-89 Workshop , 1991, AI Mag..
[8] Alberto Anguita,et al. OntoDataClean: Ontology-Based Integration and Preprocessing of Distributed Data , 2006, ISBMDA.
[9] Claudia Diamantini,et al. A virtual mart for knowledge discovery in databases , 2013, Inf. Syst. Frontiers.
[10] Sunita Sarawagi,et al. Data mining models as services on the internet , 2000, SKDD.
[11] Graham J. Williams,et al. PMML: An Open Standard for Sharing Models , 2009, R J..
[12] Yongheng Wang,et al. Outlier detection from massive short documents using domain ontology , 2010, 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[13] Anna Zamansky,et al. A graded approach to database repair by context-aware distance semantics , 2016, Fuzzy Sets Syst..
[14] Bruce G. Buchanan,et al. Ontology-guided knowledge discovery in databases , 2001, K-CAP '01.
[15] Nada Lavrac,et al. Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning , 2011, IEEE Transactions on Automation Science and Engineering.
[16] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.
[17] Alex Alves Freitas,et al. An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features , 2018, Artificial Intelligence Review.
[18] Mario Cannataro,et al. A Data Mining Ontology for Grid Programming , 2003 .
[19] Liang Zhu,et al. SEM-PPA: A semantical pattern and preference-aware service mining method for personalized point of interest recommendation , 2017, J. Netw. Comput. Appl..
[20] Nada Lavrac,et al. ClowdFlows: Online workflows for distributed big data mining , 2017, Future Gener. Comput. Syst..
[21] Katharina Morik,et al. The MiningMart Approach to Knowledge Discovery in Databases , 2004 .
[22] Saso Dzeroski,et al. Towards a General Framework for Data Mining , 2006, KDID.
[23] Xiaodong Zhu,et al. Construction and management of automatical reasoning supported data mining metadata , 2011, 2011 International Conference on Business Management and Electronic Information.
[24] Saso Dzeroski,et al. Ontology of core data mining entities , 2014, Data Mining and Knowledge Discovery.
[25] Anthony Rowe,et al. The Design of Discovery Net: Towards Open Grid Services for Knowledge Discovery , 2003, Int. J. High Perform. Comput. Appl..
[26] Yike Guo,et al. An Architecture for Distributed Enterprise Data Mining , 1999, HPCN Europe.
[27] Robert L. Grossman,et al. The management and mining of multiple predictive models using the predictive modeling markup language , 1999, Inf. Softw. Technol..
[28] Chengqi Zhang,et al. Flexible Frameworks for Actionable Knowledge Discovery , 2010, IEEE Transactions on Knowledge and Data Engineering.
[29] David Sánchez,et al. An automatic approach for ontology-based feature extraction from heterogeneous textualresources , 2013, Eng. Appl. Artif. Intell..
[30] Rüdiger Wirth,et al. Towards Process-Oriented Tool Support for Knowledge Discovery in Databases , 1997, PKDD.
[31] Franco Turini,et al. KDDML: A middleware language and system for knowledge discovery in databases , 2006, Data Knowl. Eng..
[32] Chieh-Yuan Tsai,et al. A dynamic Web service based data mining process system , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).
[33] Heiko Paulheim,et al. Semantic Web in data mining and knowledge discovery: A comprehensive survey , 2016, J. Web Semant..
[34] Abraham Bernstein,et al. A survey of intelligent assistants for data analysis , 2013, CSUR.
[35] Teodor-Florin Fortis,et al. Webservices oriented data mining in knowledge architecture , 2009, Future Gener. Comput. Syst..
[36] Pedram Sadeghian,et al. An extensible service oriented distributed data mining framework , 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..
[37] Kweku-Muata Osei-Bryson,et al. Ontology-based data mining model management for self-service knowledge discovery , 2017, Inf. Syst. Frontiers.
[38] Robert L. Grossman,et al. Deploying Analytics with the Portable Format for Analytics (PFA) , 2016, KDD.
[39] Jiming Liu,et al. Service-Oriented Distributed Data Mining , 2006, IEEE Internet Computing.
[40] Heiner Stuckenschmidt,et al. A probabilistic ontological framework for the recognition of multilevel human activities , 2013, UbiComp.
[41] Ingo Mierswa,et al. YALE: Yet Another Learning Environment , 2003 .
[42] Abraham Bernstein,et al. Towards cooperative planning of data mining workflows , 2009 .
[43] Laurent Brisson,et al. How to Semantically Enhance a Data Mining Process? , 2008, ICEIS.
[44] Heiko Paulheim. Exploiting Linked Open Data as Background Knowledge in Data Mining , 2013, DMoLD.
[45] Ramesh Subramonian,et al. Facilitating data mining on a net-work of workstations , 2000 .
[46] Robert Bergevin,et al. Semantic human activity recognition: A literature review , 2015, Pattern Recognit..
[47] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[48] Abraham Bernstein,et al. The NExT System: Towards True Dynamic Adaptations of Semantic Web Service Compositions , 2007, ESWC.
[49] Maurizio Panti,et al. Una piattaforma per servizi di KDD , 2003, SEBD.
[50] Xiaodong Zhu,et al. An Extended Predictive Model Markup Language for Data Mining , 2010, WAIM.
[51] Jiawei Han,et al. Mining Multiple-Level Association Rules in Large Databases , 1999, IEEE Trans. Knowl. Data Eng..
[52] Sushmita Mitra,et al. Fuzzy clustering with biological knowledge for gene selection , 2014, Appl. Soft Comput..
[53] Hans-Jürgen Appelrath,et al. Context-aware replacement operations for data cleaning , 2011, SAC '11.
[54] Wagner Meira,et al. Anteater: A Service-Oriented Architecture for High-Performance Data Mining , 2006, IEEE Internet Computing.
[55] Ian J. Taylor,et al. Triana: a graphical Web service composition and execution toolkit , 2004, Proceedings. IEEE International Conference on Web Services, 2004..
[56] Heiko Paulheim,et al. Mining the Web of Linked Data with RapidMiner , 2015, J. Web Semant..
[57] Jan Rauch,et al. Roles of Medical Ontology in Association Mining CRISP-DM Cycle , 2004 .
[58] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[59] Domenico Talia. The Open Grid Services Architecture: Where the Grid Meets the Web , 2002, IEEE Internet Comput..
[60] Joydeep Ghosh,et al. Evaluating the novelty of text-mined rules using lexical knowledge , 2001, KDD '01.
[61] Maozhen Li,et al. PaDDMAS: parallel and distributed data mining application suite , 2000, Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000.
[62] Ramakrishnan Srikant,et al. Mining generalized association rules , 1995, Future Gener. Comput. Syst..