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Smart business accounting software as an android mobile application using artificial imtelligence

Okyay, Muhammet Serhat

Yüksek Lisans | 2018 | İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü

In this study, the necessary data obtained from the databases (such as MSSQL, Mysql, Postgre SQL, etc.) of the softwares like ETA and NETSİS that are used for preaccountancy of the local and global companies were read, some of the data were written to the databases, and this data was used by the end user by using mobile phones or tablets carrying Android operating systems and working with Internet and cloud technology. In addition, new data sets that are collected on a cloud system from the accounting data while the company is on was studied by genetic algorithms which are one of the artificial intelligence algorithms. Then, users w . . .ere reported by the Application developed here to inform them about the company’s and its brach offices’ performances and making suggestions about such as financial budget estimation, fieldman area estimation, how to shape the workers investments. Our Applicationis worked on a system of local server, cloud server, mobile devices having Android operating system, and include a user interface and artificial intelligence working background. A model of forecasting of the sales characteristics of the sellers has been established through a model learning model based on the collected data. The generated genetic algorithm based classification model achieves % 88,33 performance Daha fazlası Daha az

Social media analysis based on mobile systems

Yavuz, Levent

Yüksek Lisans | 2017 | İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü

The use of internet and social media has increasing with the developing new technologies and large number of people have actively using of the internet. At the same time the development of mobile technologies and the widespread usage of the mobile devices that can be shown as the reason for that. In this way, social media has become a virtual environment in which people interact with each other. Some of social media platforms such as Twitter have become very popular and most of people share some information about themselves on these platforms. They also share their ideas, thoughts, lives and much more things with other people . . . through on these platforms. On this thesis that is aimed to take meaningful results from the information that people share on the Twitter platform. In this way, very useful information can be revealed. Furthermore, can be obtained which people have shared about a specified keyword and what they think that about it. All these references play an important role with about people, universities, companies, events and so on. Likewise, all these social media analyses are performed as thesis product on Android based mobile environment and thanks to this android app, can be displayed the important information of users who post tweet or tweets with about specified keywords. Their locations and countries can be also displayed. The other a different inference is what time periods of users generally post tweet on Twitter. People use some operating systems to connect from internet to Twitter platforms and these are mobile and desktop operation systems. Therefore, can be analysed to which operating system is used when posting a tweet on Twitter with specified keyword. This feature includes different results according to different keywords. Besides all this, the information all the people in the world shared on Twitter that is can be view on the mobile application. The main goal of at this point is to analyse all the interactions on Twitter and as a result the getting significant results. In this way, meaningful results can be extract and these results can be accessed with Android mobile devices Daha fazlası Daha az

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