XML data mining: models, methods, and applications

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

Data mining methods and models

Preface What is data mining? " Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. "-Data mining is predicted to be " one of the most revolutionary developments of the next decade " , according to the online technology magazine ZDNET News (Februar...

The Process and Applications of Xml Data Mining

XML has gained popularity for information representation, exchange and retrieval. As XML material becomes more abundant, its heterogeneity and structural irregularity limit the knowledge that can be gained. The utilisation of data mining techniques becomes essential for improvement in XML document handling. This chapter presents the capabilities and benefits of data mining techniques in the XML...

Data Mining – Challenges, Models, Methods and Algorithms

Data Mining and XML Documents

XML is touted as the breakthrou gh in data exchange on the web. As XML material becomes more abundant, the ability to gain knowledge from XML sources decreas es. Thus, there is a great need to apply data mining techniques to XML data. This paper suggests taxonomy of XML mining as a stepping -stone to further XML mining research. This paper explicitly expresses the available classes of XML mater...