When a student and instructor agree on a subject matter, content, method of assessment, and credit hours, it must be approved by the Department Head. You need to read some recent papers and see what other researchers are doing to find a good topic. I never worked on passport analysis. The relationship is represented in the form of nodes and links where nodes represent the people and links represent the relationships between the nodes. Don't worry about the quality of your assignments.
So, what I want to say is that choose a research area that you like, and then try to read the current papers to find some up-to-date problems to solve or method to improve. You will receive unique texts, which will be done in time. Variable 1 to 6 hours. This is some very broad questions. The contribution would not be in computer science since you would not create anything new in computer science but the contribution would only be about that data. Measurement and monitoring techniques in rock mechanics.
If you choose a topic that you cannot get data, then it is not a good topic Of course, you could also collect your own data but it is more difficult. We write the most urgent orders. Do you want to perform early prediction of who will get a particular disease? I have not worked with stock data before. In Interview,I have to represent my broad area of research interest. Or if you find that association rule is not the best solution, then you can use something else.
Community detection is an important research topic. That is why there are plenty of relevant thesis topics in data mining. You will be able to improve your academic progress. Exercises identify, define, or explain terms and definitions. From a data mining perspective, it is a new challenge, if the method do not work well with Arabic and you need to modify the method to make it work for Arabic. Could you tell me which are the latest research areas of data mining? You may have a look at papers about text mining for other languages to see how they have presented their work. Fourth, one should not forget that helping to choose a thesis topic is also the job of the professor that supervise the Master or Ph.
We are an honest resource. It is translated into english as a precondition for engaging their students over time. Data mining can help in improving the quality of life of the patients. As being an Average Joe, I have to research and get into with numerous algorithms and techniques for comparative analysis of algorithms and afraid i miss my thesis deadline as well. Besides, you can always try to contact the authors of papers to ask for their implementation.
Basically, you can combine two topics to create a new topic. I think you could find more ideas by searching a little bit on Google Scholar Best regards Hi Philippe, Iiam looking forward my PhD in DataMining. Since the availability of data may have an influence on what you can do for your topic, you could also search on the web or ask authors of papers if they can provide their data, if you plan to use the data of someone else rather than collecting your own data. This is just some ideas. The interface is simplified for your conveniences.
I use svm and naive bayes for classification. If it is too easy, it may not be a good topic. I would just recommend to continue reading and try to focus on a topic that you like. Firstly, we are a trusted resource. Equipped with proper tools, statistical software, and sources of reference, we write dissertations and theses that are one-of-a-kind, innovative, accurate, and up-to-date. In any case, you will give data to the algorithm who will generate encrypted data. Hello Sir, It was very much helpful when I came across your website for information in data mining.
Yes, I think that you can encrypt your data using an encryption algorithm. It is definitely possible and interesting to combine Computer Science with other disciplines such as Psychology. All data mining software offers a limited choice of data mining techniques. But Sir, I am really confuse in how to justify my research methodology in interview. You can combine any two topics to obtain a new topic. There is no way to avoid that step. Another kind of limitation could be in terms of the techniques that previous researchers have used.