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This paper provides a framework for intelligent servers that provide e-services on portals and applications for e-commerce purposes, such as an intelligent server that can dynamically plan and structure to respond to future users' needs and provide the appropriate e-services at the right time. To figure out how web users learn the log files collected from web users' connections and the internet, we use data mining techniques. In our experimental study, we use real data sets. Different data mining techniques are also used for Developing Intelligent E-Services Portals in future work, and it is a very difficult task in big data to identify regular trends. As the duration of the trends has to be discovered to expand the analytical space that grows exponentially.

Due to the rapid development of hospital system, doctors have an urgent need to access Electronic Medical Record system (EMR) through smart phone and tablets, in wireless environments. Since most of the EMR systems are based on Windows Operating System. The mechanisms of making EMR mobiles become an important research issue in smart hospital. In this study an intelligent decision support system based on fuzzy logic was designed and used for the kidney transplantation operations, through smart phone and tablets, in wireless environments. This proposed system is an integrated system utilizes rule based expert system and fuzzy logic and used for monitoring and early notification for kidney transplant patients and their donors by using smart phones and tablets for any operating system.

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