The purpose of this job is to provide a framework for the stream data classification. I look for a person who can present a new framework in which the accuracy of it is better than the accuracy of other existing frameworks and algorithms in this context. The data must be seen as stream data (consider stream data challenges) and the interleaved-test-then-train approached must be used to evaluate the framework accuracy. For implementation, the MOA framework should be used.
I have a set of real datasets that the proposed framework must have high accuracy on them. The final goal of this job is to provide a high-quality paper in a SCOPUS journal with the Q1 or Q2 rank (ie: IEEE Transactions on Knowledge and Data Engineering journal).
The maximum amount of time required for this work is a month.
13 фрилансеров(-а) готовы выполнить эту работу в среднем за $1390
Hi I had a PhD in computer science. My area of expertise is data mining. I had published many papers. I think I can help you. Please contact me. Many thanks.
Hello sir. I read your project description and I'm really interested in your project. If you give me your idea or topic, I can do quality writing in one month. Looking forward to your response. Best Regards.
Hey I have some experience in publishing Machine learning articles in scopus indexed journals. Kindly check my profile to see some of my published work. Hope to hear from you soon. Have a good-day!!!