Data and Knowledge Discovery in Databases (KDD)
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This seminar discusses nursing informatics and the use of technology in research. It defines key terms like data, databases, and knowledge discovery in databases (KDD). It explains that KDD involves extracting hidden knowledge from large datasets through the use of data mining techniques. The seminar also outlines the various stages of the KDD process and discusses how technology can enhance research activities like data collection and analysis, communication and collaboration, and information storage and retrieval.
Data and Knowledge Discovery in Databases (KDD)
- 1. Nursing Informatics Seminar Data, KDD, and the uses of technology in research Presented by: Sultan Sultan – 15906013 Abdelrahman Alkilani – 15906012 MSN – Year 1
- 2. Learning outcomes • By the end of this seminar the learner should be able to : • Define informatics • Define data, data base and information • Identify the types of data • Explain the importance of software and technology • Discuss the information science process • Define Knowledge Discovery in Databases • Discuss the stages of KDD • Discuss the uses of technology in research
- 4. Data •Data - Raw fact; lacks meaning. There many types of data: • Alpha – letters • –Numeric – numbers • –Alphanumeric – Letter and numbers • –Audio – sounds, noise, or tone • –Image – graphic, pictures • –Video –animation, moving pictures
- 8. Data Base • A collection of records stored in a computer system using tables that can be related to one another and the data extracted in a variety of ways to gain needed information without having to reorganize the tables. • Some of the most beneficial databases to nursing include the following: • CINAHL (Cumulative Index of Nursing and Allied Health Literature) is the authoritative resource for nursing and allied health professionals, students, educators, and researchers. This database provides indexing and abstracting for more than 1,700 current nursing and allied health journals and publications dating back to 1982, totaling more than
- 9. Data Base
- 10. Data Base
- 11. Data mining Software that sorts thorough data in order to discover patterns and ascertain or establish relationships
- 12. Information Data that are interpreted, organized, or structured; data that is processed using knowledge or data made functional through the application of knowledge •Primary concentered with: –Input –Process –Output –feedback •Systemically based •Develops by its own law
- 14. Knowledge Discovery in Databases (KDD) Is the extraction of non-obvious, hidden knowledge from large volume of data.
- 15. Knowledge Discovery in Databases (KDD) DATA DATA Mining Knowledge
- 16. Stages of KDD
- 17. Uses of technology in research • Work of a researcher involves such activities as: • writing proposals • developing theoretical models • designing experiments and collecting data • analyze data • communicating with colleagues • studying research literature review • writing articles
- 18. Uses of technology in research Collection and analysis 1. Dramatic increases in the amount of information researchers can store and analyze. For example: researchers can now process and manipulate observations in a database consisting of 18 years x 3400 individuals x 1000 variable for individual each year.
- 19. Uses of technology in research 2. Creation of new instruments 3. Availability of new software packages for standard research activities. • Difficulties: - Information technology is not equally accessible to all researches
- 20. Uses of technology in research Communication and collaboration • Word processing • Electronic mails • Networks 1. Information can be shared more and more quickly 2. Researchers are making a new collaboration arrangement • Difficulties: - Incompatibility
- 21. Uses of technology in research Information storage and retrieval 1. Electronically stored scientific texts • Difficulties May not be easy to access
- 22. Summary • Data is a row fact • Data types: Qualitative Quantitative • KDD is the extraction of non-obvious, hidden knowledge from large volume of data. • Data mining is a core of KDD • Technology enhance conducting researches.
- 23. References • Linda Q. and Jeanne P. Informatics and Nursing Competences and Applications. (Third Edition). Wolters Kluwer. • Linda Q. and Jeanne P. Informatics and Nursing Opportunities and Challenges. (Fourth Edition). Wolters Kluwer.