How to Estimate Amount of Useful Information, in Particular Under Imprecise Probability
نویسندگان
چکیده
Traditional Shannon’s information theory describes the overall amount of information, without distinguishing between useful and unimportant information. Such a distinction is needed, e.g., in privacy protection, where it is crucial to protect important information while it is not that crucial to protect unimportant information. In this paper, we show how Shannon’s definition can be modified so that it will describe only the amount of useful information.
منابع مشابه
APPLICATION OF DEA FOR SELECTING MOST EFFICIENT INFORMATION SYSTEM PROJECT WITH IMPRECISE DATA
The selection of best Information System (IS) project from many competing proposals is a critical business activity which is very helpful to all organizations. While previous IS project selection methods are useful but have restricted application because they handle only cases with precise data. Indeed, these methods are based on precise data with less emphasis on imprecise data. This paper pro...
متن کاملA Note on Evolutionary Rate Estimation in Bayesian Evolutionary Analysis: Focus on Pathogens
Bayesian evolutionary analysis provide a statistically sound and flexible framework for estimation of evolutionary parameters. In this method, posterior estimates of evolutionary rate (μ) are derived by combining evolutionary information in the data with researcher’s prior knowledge about the true value of μ. Nucleotide sequence samples of fast evolving pathogens that are taken at d...
متن کاملData envelopment analysis for imprecise data in Buyer-Seller Relationship
In the environment of business‐to‐business e‐commerce, Buyers and sellers in mature industrial markets can turn single transactions into long-term beneficial relationships by a deeper understanding of the complex connection between the two and buyers and sellers are uncertain about their roles. A “must-do” for the sellers, in particular, is to understand patterns of investment and reward,...
متن کاملNon-zero probability of nearest neighbor searching
Nearest Neighbor (NN) searching is a challenging problem in data management and has been widely studied in data mining, pattern recognition and computational geometry. The goal of NN searching is efficiently reporting the nearest data to a given object as a query. In most of the studies both the data and query are assumed to be precise, however, due to the real applications of NN searching, suc...
متن کاملBehavioral Finance Models and Behavioral Biases in Stock Price Forecasting
Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...
متن کامل