'Knowledge mining' presentation slideshows

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Formal Ontology and Information Systems

Formal Ontology and Information Systems

Formal Ontology and Information Systems . Barry Smith http://ifomis.de. Institute for Formal Ontology and Medical Information Science (IFOMIS) Faculty of Medicine University of Leipzig http://ifomis.de. The Idea. Computational medical research will transform the discipline of medicine

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1.23k views • 98 slides
Data Mining vs. Knowledge Mining What is an Inductive Database The INLEN M ethodology

Data Mining vs. Knowledge Mining What is an Inductive Database The INLEN M ethodology

INDUCTIVE DATA BASES and KNOWLEDGE SCOUTS Ryszard S. Michalski Machine Learning and Inference Laboratory School of Computational Sciences George Mason University. Data Mining vs. Knowledge Mining What is an Inductive Database The INLEN M ethodology A Simple Medical Knowledge Scout

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608 views • 37 slides
DBMiner 2.0

DBMiner 2.0

DBMiner 2.0. Adnan Rahi Prabhat Vivekanandan. Brief History of DBMiner Technology Inc. Research on data mining since 1989. International reputation and recognition. Substantial research supports and contracts. DBMiner Technology Inc.: A Simon Fraser University Spin-Off Company

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759 views • 28 slides
Supplemental Slides to Chapter 4

Supplemental Slides to Chapter 4

Supplemental Slides to Chapter 4. Leveraging Your Existing Infrastructure Internet, Intranets, Extranets. Review from Last Week. KMSLC (Ch. 3) KM Strategies: Codification and Personalization Knowledge Markets Buyers, sellers, brokers

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285 views • 13 slides
Mining Large Data at SDSC

Mining Large Data at SDSC

Mining Large Data at SDSC. Natasha Balac , Ph.D. Geosciences. Data Management and Mining. Modeling and Simulation. A Deluge of Data. Today, data comes from everywhere Scientific instruments Experiments Sensors and sensor nets New devices And is used by everyone Scientists Consumers

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274 views • 12 slides
Knowledge Mining Team (Prof. Ari Visa)

Knowledge Mining Team (Prof. Ari Visa)

Knowledge Mining Team (Prof. Ari Visa). We are working in the multimedia environment. The most common words describing our research are knowledge mining, data mining, knowledge management and information retrieval. By other words we are extracting pieces of

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197 views • 2 slides

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