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ERIC Number: ED392458
Record Type: Non-Journal
Publication Date: 1995
Pages: 26
Abstractor: N/A
Reference Count: N/A
Method of Coding Search Strings as Markov Processes Using a Higher Level Language.
Ghanti, Srinivas; Evans, John E.
For much of the twentieth century, Markov theory and Markov processes have been widely accepted as valid ways to view statistical variables and parameters. In the complex realm of online searching, where researchers are always seeking the route to the best search strategies and the most powerful query terms and sequences, Markov process analysis can investigate interactive search input variables in order to identify preferred search algorithms. This report uses the Statistical Analysis System (SAS) to demonstrate the development of a higher-level language coding for these processes. Utilizing the power of this widely available statistical package should facilitate the application of this technique for similar analyses of sequence-based activities. The discussion includes identification of applications in information retrieval analysis and common problems in statistical and analytical technique. Includes relevant output in the form of three figures and four tables. An appendix gives instructions on how to program workable code for Markov string analysis using the SAS. (Contains 36 references.) (BEW)
Publication Type: Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A