Книги з теми "KNOWLEDGE DISCOVERY BASED TECHNIQUE"

Edgar, Jacoby, ed. Chemogenomics: Knowledge-based approaches to drug discovery. London: Imperial College Press, 2006.

Triantaphyllou, Evangelos. Data Mining and Knowledge Discovery via Logic-Based Methods. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1630-3.

Hong, Jia-Fei. Verb Sense Discovery in Mandarin Chinese—A Corpus based Knowledge-Intensive Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44556-3.

Data mining and knowledge discovery via logic-based methods: Theory, algorithms, and applications. New York: Springer, 2010.

Vathy-Fogarassy, Ágnes. Graph-Based Clustering and Data Visualization Algorithms. London: Springer London, 2013.

Optimization based data mining: Theory and applications. London: Springer-Verlag, 2011.

S, Gero John, and Maher Mary Lou, eds. Modeling creativity and knowledge-based creative design: Edited by John S. Gero and Mary Lou Maher. Hillsdale, N.J: Lawrence Erlbaum Associates, Publishers, 1993.

1943-, Gero John S., and Maher Mary Lou, eds. Modeling creativity and knowledge-based creative design: Edited by John S. Gero and Mary Lou Maher. Hillsdale, NJ: L. Erlbaum, 1992.

Ji yu nei zai ren zhi ji li de zhi shi fa xina li lun: Knowledge discovery theory based on inner cognitive mechanism. Beijing Shi: Guo fang gong ye chu ban she, 2009.

Nirmalie, Wiratunga, and SpringerLink (Online service), eds. Case-Based Reasoning Research and Development: 19th International Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September 12-15, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (8th : 1996 : Baden-Baden, Germany), eds. Advances in database and expert systems: Environmental information systems, expert diagnostic systems, evaluating and improving diagnostic knowledge-bases, databases for intelligent multimedia presentations, knowledge-based discovery in databases, transaction recovery in multidatabase systems, rapid database prototyping, relational designs for storage & manipulation of musical notes, rule-based diagnostic systems quality assurance, automatic referencing of notational labels. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1996.

Faisal, Shafait, and SpringerLink (Online service), eds. Camera-Based Document Analysis and Recognition: 4th International Workshop, CBDAR 2011, Beijing, China, September 22, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Ian, Watson, and SpringerLink (Online service), eds. Case-Based Reasoning Research and Development: 20th International Conference, ICCBR 2012, Lyon, France, September 3-6, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Hayit, Greenspan, Syeda-Mahmood Tanveer, and SpringerLink (Online service), eds. Medical Content-Based Retrieval for Clinical Decision Support: Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Umberto, Straccia, and SpringerLink (Online service), eds. Web Reasoning and Rule Systems: 6th International Conference, RR 2012, Vienna, Austria, September 10-12, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Computing with spatial trajectories. New York: Springer, c2011., 2011.

Triantaphyllou, Evangelos, and Giovanni Felici, eds. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Springer US, 2006. http://dx.doi.org/10.1007/0-387-34296-6.

Triantaphyllou, Evangelos, and Giovanni Felici. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Springer, 2006.

Triantaphyllou, Evangelos, and Giovanni Felici. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques. Springer, 2011.

(Editor), Evangelos Triantaphyllou, and Giovanni Felici (Editor), eds. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing). Springer, 2006.

Weeber, Marc, and Peter Bruza. Literature-based Discovery. Springer, 2010.

Weeber, Marc, and Peter Bruza. Literature-Based Discovery. Springer London, Limited, 2008.

Ferrari, Elena, and Francesco Bonchi. Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques. Taylor & Francis Group, 2010.

Jacoby, Edgar. Chemogenomics: Knowledge-based Approaches to Drug Discovery. Imperial College Press, 2006.

(Editor), Sankar K. Pal, David W. Aha (Editor), and Kalyan M. Gupta (Editor), eds. Case-Based Reasoning in Knowledge Discovery and Data Mining. Wiley-Interscience, 2007.

Engels, Robert. Component-Based User Guidance in Knowledge Discovery and Data Mining. Ios Pr Inc, 1999.

Caldwell, Guy A., Shelli N. Williams, and Kim A. Caldwell. Integrated Genomics: A Discovery-Based Laboratory Course. Wiley, 2006.

Caldwell, Guy A., Shelli N. Williams, and Kim A. Caldwell. Integrated Genomics: A Discovery-Based Laboratory Course. Wiley & Sons, Incorporated, John, 2006.

Hong, Jia-Fei. Verb Sense Discovery in Mandarin Chinese - A Corpus Based Knowledge- Intensive Approach. Springer, 2014.

Hong, Jia-Fei. Verb Sense Discovery in Mandarin Chinese—A Corpus based Knowledge-Intensive Approach. Springer, 2016.

Hong, Jia-Fei. Verb Sense Discovery in Mandarin Chinese--A Corpus Based Knowledge-Intensive Approach. Springer London, Limited, 2014.

Triantaphyllou, Evangelos. Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications. Springer, 2012.

Triantaphyllou, Evangelos. Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications. Springer, 2011.

Abonyi, János, and Ágnes Vathy-Fogarassy. Graph-Based Clustering and Data Visualization Algorithms. Springer, 2013.

Gero, John S., and Mary Lou Maher. Modeling Creativity and Knowledge-Based Creative Design. Taylor & Francis Group, 2013.

Gero, John S., and Mary Lou Maher. Modeling Creativity and Knowledge-Based Creative Design. Taylor & Francis Group, 2013.

Gero, John S., and Mary Lou Maher. Modeling Creativity and Knowledge-Based Creative Design. Taylor & Francis Group, 2016.

Gero, John S., and Mary Lou Maher. Modeling Creativity and Knowledge-Based Creative Design. Taylor & Francis Group, 2013.

Peng, Jiajie, Tao Wang, and Miguel E. Renteria, eds. Data Mining and Statistical Methods for Knowledge Discovery in Diseases Based on Multimodal Omics. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-174-6.

Abonyi, János, and Ágnes Vathy-Fogarassy. Graph-Based Clustering and Data Visualization Algorithms. Springer, 2013.

Chen, Su, Tiejian Luo, and Guandong Xu. Trust-based Collective View Prediction. Springer, 2013.

Luo, Tiejian. Trust-based Collective View Prediction. 2013.

Chen, Su, Tiejian Luo, Guandong Xu, and Jia Zhou. Trust-based Collective View Prediction. Springer, 2015.

Sabiu, Saheed, ed. Therapeutic Use of Plant Secondary Metabolites. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150506221220101.

Liu, Chun. Principle and Application Progress in Location-Based Services. Springer International Publishing AG, 2016.

Principle and Application Progress in Location-Based Services. Springer, 2014.

Martinuzzi, André, and Michal Sedlacko. Knowledge Brokerage for Sustainable Development: Innovative Tools for Increasing Research Impact and Evidence-Based Policy-Making. Taylor & Francis Group, 2017.

Knowledge Brokerage for Sustainable Development: Innovative Tools for Increasing Research Impact and Promoting Evidence-Based Policy Making. Taylor & Francis Group, 2015.

Martinuzzi, André, and Michal Sedlacko. Knowledge Brokerage for Sustainable Development: Innovative Tools for Increasing Research Impact and Promoting Evidence-Based Policy Making. Taylor & Francis Group, 2015.

Martinuzzi, André, and Michal Sedlacko. Knowledge Brokerage for Sustainable Development: Innovative Tools for Increasing Research Impact and Promoting Evidence-Based Policy Making. Taylor & Francis Group, 2016.