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What is Monte-Carlo Simulation

Handbook of Research on Web Log Analysis
Monte-Carlo simulation is a static simulation scheme that employs random numbers, and is used for solving stochastic or deterministic problems, where time plays no substantial role (Law and Kelton, 1991).
Published in Chapter:
From Analysis to Estimation of User Behavior
Seda Ozmutlu (Uludag University, Turkey), Huseyin C. Ozmutlu (Uludag University, Turkey), and Amanda Spink (Queensland University of Technology, Australia)
Copyright: © 2009 |Pages: 21
DOI: 10.4018/978-1-59904-974-8.ch011
Abstract
This chapter summarizes the progress of search engine user behavior analysis from search engine transaction log analysis to estimation of user behavior. Correct estimation of user information searching behavior paves the way to more successful and even personalized search engines. However, estimation of user behavior is not a simple task. It closely relates to natural language processing and human computer interaction, and requires preliminary analysis of user behavior and careful user profiling. This chapter details the studies performed on analysis and estimation of search engine user behavior, and surveys analytical methods that have been and can be used, and the challenges and research opportunities related to search engine user behavior or transaction log query analysis and estimation.
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Simulation Tool for Cable Design
A computational program/algorithm that uses multiple random sampling to obtain the most probably value of a parameter of interest and its possible deviation.
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Ant Colony Algorithm for Single Stage Supply Chain
A problem solving technique that estimates stochastic or deterministic parameters using the probability of certain outcomes by running multiple trial runs.
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