Behnam Kiani Kalejahi

Umid Suleymanov, Behnam Kiani Kalejahi, Elkhan Amrahov et al.

Text classification systems will help to solve the text clustering problem in the Azerbaijani language. There are some text-classification applications for foreign languages, but we tried to build a newly developed system to solve this problem for the Azerbaijani language. Firstly, we tried to find out potential practice areas. The system will be useful in a lot of areas. It will be mostly used in news feed categorization. News websites can automatically categorize news into classes such as sports, business, education, science, etc. The system is also used in sentiment analysis for product reviews. For example, the company shares a photo of a new product on Facebook and the company receives a thousand comments for new products. The systems classify the comments into categories like positive or negative. The system can also be applied in recommended systems, spam filtering, etc. Various machine learning techniques such as Naive Bayes, SVM, Decision Trees have been devised to solve the text classification problem in Azerbaijani language.

Ulkar Ahmadova, Laman Mammadova, Behnam Kiani Kalejahi

In the era of technology, data security is one of the most important things that both individuals and companies need. Information plays a huge role in our everyday life and keeping it safe should be our number one priority. Nowadays most of the information is transferred via the internet. One of the ways to use it is telemedicine. With the help of telemedicine, people can have an appointment at the doctors without losing their time or money. All of the information about one's health is transferred through the internet but is it that safe? What techniques are used to provide the safety of our confidential information? To guarantee that the information is not changed or that in case it will be stolen no one can still have access to it.

Behnam Kiani Kalejahi, Saeed Meshgini, Ayshan Yariyeva et al.

This paper embodies the usage of Big Data in Healthcare. It is important to note that big data in terms of Architecture and implementation might be or has already or will continue to assist the continuous growth in the field of healthcare. The main important aspects of this study are the general importance of big data in healthcare, the positives big data will help tackle and enhance in this field and not to also forget to mention the tremendous downside big data has on healthcare that is still needed to improve or putting extensive research on. We believe there is still a long way in which institutions and individuals understand the hidden truth about big data. We have highlighted the various ways one could be confidently relied on big data and on the other hand highlighted the weighted importance of big problem big data and expected solutions.