Research is a crucial component for every member of the faculty, including Ph.D. candidates, students enrolled in different undergraduate and graduate degree programmes offered by universities, and numerous accrediting procedures linked with both the institution and universities. Several publishers, in an effort to be of assistance to the researcher community, have developed services known as "Journal-Finder." In this article, we have taken a set of keywords from the field of IT data science and run them through a number of different "Journal-Finder" services to see which one works best when all of these keywords are given as input, along with the other necessary details, and how effective these services are for the specific domain. Our focus is on "distributed incremental clustering," which is a subfield of "distributed incremental clustering," which is a subfield of "machine learning," "data mining," "artificial intelligence," and "general computer engineering related topics." Thus, the researchers who are now researching in this specific field will gain from this. But, people working in similar fields will also get a helpful list of journals and information about them, allowing them to complete the journal in a rapid and efficient manner. In anticipation of this growing need for information regarding journals from many different publishers, we'd want to make available the JournoMetrics terminology system. [ABSTRACT FROM AUTHOR]