However, there might be a resolution for the issue that lies in the data mining subdivision called privacy preserving data mining. But you can also choose something else. Data mining has been effective in different areas like customer relationship management, predictive medicine, fraud detection, healthcare management, and measurement of certain other treatments. We'll never let you down. Through these techniques, fraudulent transactions can be checked by identifying different patterns in transactions.
I suggest to read papers in recent conferences and journals related to your interest to see what people are working on. Why is a difficult question to answer. There is some datasets here for example: You can also find more by searching on Google. Actually I have very limited knowledge on data mining but I am interested too much to do my research in this area. My advice: try to look at recent research on this topic. Then, you can understand what other people have done and do something new or something different.
If you use the data of someone else, then you save time. I look forward for hearing good response. Trying to meet all necessities of our customers, we provide a fair price policy. 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. I cannot help you to do this because it takes time to read papers. Ask any that is needed.
Moreover, the information will probably not stay in one place; it can be sold or, either intentionally or not, put on the Internet and become available to everyone. Otherwise, they may ban your account. It is relatively new area for thesis and research in data mining. So I just want to say that it is not a good example of good research. You can always get our assurance that you will shine brighter than before. Usually the course is offered only once. Sometimes, supervisors do not help too much.
I just say that as an example I did not read on this topic. Clustering Clustering is an unsupervised machine learning method to create groups of data-sets having similar patterns using statistical distribution. The competent writers will do everything properly. As you can see, all is fair and square. Biological Data Mining Data mining find its application in bioinformatics. I think it is ok. I guess that you mean important problem with real world applications.
If you can identify some new challenges for your target language than you may find a way to adress these specific challenges and it could be your contribution. On that time I choose opinion mining as my thesis topic. You may tell them that you will cite their paper if you use their data. Accordingly, we teach our authors to write at the fastest pace. Text mining finds its application in sentiment analysis. Once you approach to us, definitely you feel our amazing work in research.
Also, there are a number of topics in data mining for thesis and research. Do you want to predict what people will click on next? But the most important in a data mining project is always to have data. I am ready to study a lot. But will you like it? If you find that your topic has not been studied in a specific context, then you may apply it to that new context. But there are certainly some challenges to solve.
What is important is that a PhD need bring something novel. What you could do is to choose a technique from the literature, try it, and after you tried it, you will certainly think about some way to improve it. For the other part, of choosing the topic itself, you need to read papers and you should also discuss with your supervisor who should be supposed to help you choose a topic. Then you find a way to modify it to do X, whatever X is. The selected author always finishes orders before the time is out. We constantly try to make our customers feel comfortable. Secondly, we are an experienced agency.
So proposing another version of k-means may not be the most original thing to do. If you like that topic, you can check my software called , which provides the source code and datasets for hundreds of algorithms. The main purpose of text mining is to identify facts and relationships from the large textual data. Your orders will be performed exactly as you want. Providing Multi Security In Privacy Preserving Data Mining. Maybe you should try to talk with some special about natural disaster.