The segmentation problem arises in many applications in data mining, A.I. and statistics, including segmenting time series, decision tree algorithms and image processing. In this paper, we consider a range of criteria which may be applied to determine if some data should be segmented into two or regions. We develop a information theoretic criterion (MML) for the segmentation of univariate data ...

More and more literatures have researched the application of data mining technology in customer segmentation, and achieved sound effects. One of the key purposes of customer segmentation is customer retention. But the application of single data mining technology mentioned in previous literatures is unable to identify customer churn trend for adopting different actions on customer retention. Thi...

industrial-scale r&d it projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. when planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. discovery of this network of technologies is time con...

Data mining is widely used in business applications including market segmentation, fraud detection, credit risk analysis as well as many other applications. In the construction domain however, the use of data mining has been extremely limited. Data mining usually requires the availability of a large database of previous cases to be analyzed. Therefore applications in the construction industry m...

In this modern computer world, mining plays an important role to extract the required information from the information galaxy. The information galaxy is termed as Data Warehousing. Not only data, but also there are more fields which has huge amount of information in the galaxy, and cant be retrieved form it. For these cases, we need the mining techniques. Multimedia mining is one of the advance...

health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. data mining is among the technological advances toward data management whose integration with traditional methods...