No abstract

Distance education systems, initially perceived as a knowledge management system and knowledge management system in the preparation of distance education applications architectures have been used. However, students in the distance education system modules, tutorials, modules, such as the adequacy of student assessment and tutorial are many human factors. This application architectures and algorithms used in distance education because they are not flexible enough to be applied to these factors, they are forced to respond. Distance education systems must be more flexible and re-configurable. Cloud computing, which is based on sharing knowledge and equipment, services to gather under a single roof instead of offering a solution for each service is an information technology.Cloud computing technologies, more flexible compared to conventional information technology, can be updated quickly and are innovative. Distance education system through the use of cloud computing in addressing the needs of distance education is emerging architectures and algorithms.In this paper, application architecture according to the distance education system will be created. This application architecture will be utilized when creating cloud services and these services will be studied harmony with each other.

The aim of this study is to analyze the comments of travel web sites on 28 hotels that have 4 or 5 stars, operating in Cappadocia region by text mining and to determine the satisfaction level of customers from hotels. For this purpose, text mining methods were used and 10 263 comments were downloaded and analyzed. Design/methodology/approach-The research focuses on 5 and 4-star hotel reviews of the Cappadocia region in the English language version. For this study, 10263 comments were obtained from 28 different hotels. The excel file created in the context of data acquisition was added to the RapidMiner data mining program. Then, a model was created for the individual separation of the words mentioned in the headlines and comments. The aim is to make the word frequencies by determining the words in the comments as attributes, and also to make them suitable for the association analysis. Findings-It was determined that the tourists made comments on the room experience, staff and hotel dimensions. They have stated that the rooms were great, clean, gorgeous, amazing, unique and spacious. The hotel staff was found to be helpful and friendly. It is concluded that hotels are generally clean, beautiful and unique. It can be said that there is a high level of satisfaction from the hotels. Discussion-The fact that the data obtained by the method of text mining has facilitated generalizations. This method can be defined as the most common factors that tourists perceive when expressing their opinions and sharing their experiences online. In this respect, they have directly received the service quality, physical condition, etc., they expressed their comments about many factors as easily as they felt. It is thought that providing online environments with such facilities is important in obtaining reliable and valid information.

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers.