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Relevant bibliographies by topics / Expert systems (Computer Science) Information storage and retrieval systems Diagnosis

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Academic literature on the topic 'Expert systems (Computer Science) Information storage and retrieval systems Diagnosis'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Expert systems (Computer Science) Information storage and retrieval systems Diagnosis"

1

Gu, Dongxiao, Changyong Liang, Kyung-Sun Kim, Changhui Yang, Wenjuan Cheng, and Jun Wang. "Which is More Reliable, Expert Experience or Information Itself? Weight Scheme of Complex Cases for Health Management Decision Making." International Journal of Information Technology & Decision Making 14, no. 03 (2015): 597–620. http://dx.doi.org/10.1142/s0219622014500424.

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How to obtain valuable knowledge more effectively from historical cases and satisfy the requirements of supporting diagnosis or management decision making is one of the important and challenging issues in the research field of modern historical information management and intelligent decision-making science. In this study, we develop a novel case-based reasoning (CBR) method which is based on information entropy and improved gray systems theory for knowledge acquisition of historical diagnosis decision-making cases. Specially, information entropy for weight determination is introduced into the

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Eachempati, Prajwal. "Change Management in Information Asset." Journal of Global Information Management 25, no. 2 (2017): 68–87. http://dx.doi.org/10.4018/jgim.2017040105.

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We are passing through information age with lightning communication speed. Information asset storage in Cloud and retrieval in the net has become the new invisible corporate voyage into the information space. Information Assets are a valuable source of Knowledge for both Information asset creator as well as the user. These are fluid assets that change overtime based on several internal and environmental factors! This paper seeks to address these aspects of Change that impacts such “fluid” Information Assets and the need to raise up to the changing expectations of the millions of users by satis

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3

López-Martínez, Fernando, Edward Rolando Núñez-Valdez, Vicente García-Díaz, and Zoran Bursac. "A Case Study for a Big Data and Machine Learning Platform to Improve Medical Decision Support in Population Health Management." Algorithms 13, no. 4 (2020): 102. http://dx.doi.org/10.3390/a13040102.

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Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing an intelligent big data analytic platform based on machine learning and data integration principles. We discuss how this platform is the new pillar for the organization to improve population health management, value-based care, and new upcoming challenges in healthcare. The benefits of using this new data platform for community and population he

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4

"A Knowledge-Intensive Decision Support System for Industrial Machines Maintenance." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 17 (March 16, 2020). http://dx.doi.org/10.37394/23209.2020.17.5.

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-In industrial plants, the profitability of the plant is significantly affected by the quality of machines maintenance. To ensure continuous production, the high valued machines should be kept in good working conditions. This brings plants to search for means to control and reduce equipment failures. When faults emerge in plants, appropriate actions for fault diagnosis and troubleshooting must be executed promptly and effectively to prevent large costs due to breakdowns. To provide reliable and effective maintenance support, the aid of advanced decision support technology utilizing previous re

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Slater, Luke T., William Bradlow, Simon Ball, Robert Hoehndorf, and Georgios V. Gkoutos. "Improved characterisation of clinical text through ontology-based vocabulary expansion." Journal of Biomedical Semantics 12, no. 1 (2021). http://dx.doi.org/10.1186/s13326-021-00241-5.

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Abstract Background Biomedical ontologies contain a wealth of metadata that constitutes a fundamental infrastructural resource for text mining. For several reasons, redundancies exist in the ontology ecosystem, which lead to the same entities being described by several concepts in the same or similar contexts across several ontologies. While these concepts describe the same entities, they contain different sets of complementary metadata. Linking these definitions to make use of their combined metadata could lead to improved performance in ontology-based information retrieval, extraction, and a

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Dissertations / Theses on the topic "Expert systems (Computer Science) Information storage and retrieval systems Diagnosis"

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Senn, Erich 1957. "AN EXPERT SYSTEM APPROACH TO DATA COMMUNICATION FAILURE DIAGNOSIS AND INFORMATION RETRIEVAL." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275550.

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Horner, Vincent Zion. "Developing a consumer health informatics decision support system using formal concept analysis." Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-05052008-112403/.

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Janicki, James H. "Retrieval from an image knowledge base /." Online version of thesis, 1993. http://hdl.handle.net/1850/12196.

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Mick, Alan A. "Knowledge based text indexing and retrieval utilizing case based reasoning /." Online version of thesis, 1994. http://hdl.handle.net/1850/11715.

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5

Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.

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6

France, Robert Karl. "An artificial intelligence environment for information retrieval research." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91091.

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The CODER (COmposite Document Expert/Extended/Effective Retrieval) project is a multi-year effort to investigate how best to apply artificial intelligence methods to increase the effectiveness of information retrieval systems. Particular attention is being given to analysis and representation of heterogeneous documents, such as electronic mail digests or messages, which vary widely in style, length, topic, and structure. In order to ensure system adaptability and to allow reconfiguration for controlled experimentation, the project has been designed as a moderated expert system. This thesis cov

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7

Elofson, Gregg Steven. "Facilitating knowledge sharing in organizations: Semiautonomous agents that learn to gather, classify, and distribute environmental scanning knowledge." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184743.

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Evaluating patterns of indicators is often the first step an organization takes in scanning the environment. Not surprisingly, the experts that evaluate these patterns are not equally adept across all disciplines. While one expert is particularly skilled at recognizing the potential for political turmoil in a foreign nation, another is best at recognizing how Japanese government de-regulation is meant to complement the development of some new product. Moreover, the experts often benefit from one another's skills and knowledge in assessing activity in the environment external to the organizatio

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Deedman, Galvin Charles. "Developing conceptual frameworks for structuring legal knowledge to build knowledge-based systems." Thesis, 1994. http://hdl.handle.net/2429/6998.

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This dissertation adopts an interdisciplinary approach to the field of law and artificial intelligence. It argues that the conceptual structuring of legal knowledge within an appropriate theoretical framework is of primary importance when building knowledge-based systems. While technical considerations also play a role, they must take second place to an in-depth understanding of the law. Two alternative methods of structuring legal knowledge in very different domains are used to explore the thesis. A deep-structure approach is used on nervous shock, a rather obscure area of the law o

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Books on the topic "Expert systems (Computer Science) Information storage and retrieval systems Diagnosis"

1

Schild, Uri J. Expert systems and case law. E. Horwood, 1992.

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Knowledge engineering for information systems. McGraw Hill Book Co. Europe, 1993.

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Knowledge systems for business: Integrating expert systems & MIS. Prentice Hall, 1988.

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1969-, Badr Youakim, Abraham Ajith 1968-, Hassanien Aboul Ella, and SpringerLink (Online service), eds. Emergent Web Intelligence: Advanced Information Retrieval. Springer-Verlag London Limited, 2010.

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5

Alberico, Ralph. Expert systems for reference and information retrieval. Meckler, 1990.

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Expert systems in law: A jurisprudential inquiry. Clarendon, 1987.

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Zeleznikow, J. Building intelligent legal information systems: Representation and reasoning in law. Kluwer Law and Taxation Publishers, 1994.

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8

P, Cobham David, ed. Business information systems: Analysis, design, and practice. 5th ed. Pearson, 2004.

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Business information systems: Analysis, design, and practice. Addison-Wesley, 1989.

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Business information systems: Analysis, design, and practice. 2nd ed. Addison-Wesley, 1995.

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