Titlebook: Uncertainty Management in Information Systems; From Needs to Soluti Amihai Motro,Philippe Smets Book 1997 Springer Science+Business Media N

Bridle

含水層

Forehead-Lift

CULP

Uncertainty in Intelligent Databases,By an . we mean a traditional relational database with additional functionalities to represent either (1) general rules, as in deductive databases, or (2) some kind of incomplete information, like marked null values or disjunctive facts, or (3) additional meta-information, like information validity, uncertainty factors, or some kind of modality.

符合規(guī)定

Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases,This chapter is a survey of several issues and applications in uncertain, inconsistent, and incomplete data in scientific and statistical databases (SSDBs).

參考書目

Knowledge Discovery and Acquisition from Imperfect Information,This chapter discusses the issues of imperfect information in the fields of knowledge discovery in databases (KDD) and knowledge acquisition for expert systems (KA) . My perspective on these issues is more of a practitioner motivated by pressing application needs and less of the researcher motivated by the desire to push the frontiers of science.

mendacity

Uncertainty in Information Retrieval Systems, central element of systems that support such functions as office automation, library automation, legal research, or software engineering. Research in IR spans many subdisciplines of computer and information science.

expunge

Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introle minimizing the effort? There are a variety of reasons to represent uncertainty and a variety of probabilistic and Bayesian ways to do so, requiring varying amounts of effort. We discuss an approach to resolve these issues, so that the costs will be commensurate with the benefits.

Sputum

Logical Handling of Inconsistent and Default Information, databases significantly, yet without significant loss of utility for many applications. For example, a market research agency could use default information in its consumer profiles: for its kind of business such a level of accuracy could be deemed sufficient.

充足

An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncword or a phrase whose meaning is vague or even entirely unclear. As another example, a query may reflect a user’s uncertainty about what he is looking for. In addition, one may want to use vague predicates in a query to express pbl]References among the admissible answers.