modern file systems offer reasonable spatial and temporal control to the DBMS and this storage model is available in essentially all database system imple- mentations. The raw disk support remains a common high-performance option in most database systems, however, its usage is rapidly narrow- ing...
The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems.P.P.VivekaC.SenthilrajaK.Sumathi
This research paper addresses such a requirement by adopting conceptual model ofarchitecture framework described in ISO/IEC 42010:201X standard for Systems and Software Engineering- Architecture Description. This research identifies stakeholders and their concerns, describes context,integration, information, ...
In this paper we describe DeVisa, a Web system for scoring and management of data mining models. The system has been designed to provide unified access to different prediction models using standard technologies based on XML. The prediction models are serialized in PMML format and managed using a...
Overview of Data Mining Architecture The data mining is the way of finding and exploring the patterns basic or of advanced level in a complicated set of large data sets which involves the methods placed at the intersection of statistics, machine learning, and database systems. It can be an in...
In this paper a new architecture for a variety of data mining tasks is introduced. The Device-Based Software Architecture (DBSA) is a highly portable and generic data mining software framework where processing tasks are modeled as components linked together to form a data mining application. The ...
Location and navigation services based on global navigation satellite systems (GNSS) are needed for real-time high-precision positioning applications in relevant economic sectors, such as precision agriculture, transport, civil engineering or mapping. Real-time navigation users of GNSS networks have signif...
Architectures of computing systems undergo significant changes in the past years particularly driven by the need to meet the ever-accelerating growth of generated data and how to reliably handling and processing it. Here, the memory technology of computing systems plays a central role. It is increas...
Data Mining is a process of identifying hidden patterns in large data sets or raw data. Utilizing a broad range of techniques, you can use this information to reduce costs, develop more effective marketing strategies, mitigate risks, and evaluate the probability of future events related to the ...
摘要: Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have aDOI: 10.1007/3-540-48080-3_3 被引量: 34 ...