Feature extraction thesis

Providing both universal and domain knowledge. Current research A number of research groups are developing tools and methods for summarizing medical documents.

Feature extraction thesis

Tweet I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining. Therefore, in this this post, I will address this question. Personally, I think that designing or improving data mining techniques is more challenging than using already existing techniques.

Moreover, you can make a more fundamental contribution if you work on improving Feature extraction thesis mining techniques instead of applying them. Data mining is a broad field consisting of many techniques such as neural networks, association rule mining algorithms, clustering and outlier detection.

Feature extraction thesis

You should try to get some overview of the different techniques to see what you are more interested in. If your goal is just to apply data mining techniques to achieve some other purpose e.

This requires more thoughts. This helps to see what are the current popular topics and what kind of problems researchers are currently trying to solve. It does not mean that you need to work on the most popular topic. Working on a popular topic e. It is easier to get grants or in some case to get your papers accepted in special issues, workshops, etc.

Actually, the most important is that you find a topic that you like and will enjoy working on it for perhaps a few years of your life. Finding a good problem to work on can require to read several articles to understand what are the limitations of current techniques and decide what can be improved.

It is normal that it takes time to find a more specific topic. Therefore, if you are looking for a thesis topic, it is good to talk with your supervisor and ask for suggestions. He should help you. Choosing a supervisor is a very important and strategic decision that every graduate student has to make.

For more information about choosing a supervisor, you can read this post: How to choose a research advisor for M. There are two problems with this question.

Feature extraction thesis

The first problem is that it is too general. As mentioned, data mining is a very broad field. For example, I could suggest you some very specific topics such as detecting outliers in imbalanced stock market data or to optimize the memory efficiency of subgraph mining algorithms for community detection in social networks.

But will you like it? It is best to choose something by yourself that you like. The second problem with the above question is that choosing a topic is the work that a researcher should do or learn to do.

In fact, in research, it is equally important to be able to find a good research problem as it is to find a good solution. Therefore, I highly recommend to try to find a research topic by yourself, as it is important to develop this skill to become a successful researcher.

If you are a student, when searching for a topic, you can ask your research advisor to guide you. Also, just for fun, here is a Ph. D thesis title generator. Visited 1, times, 12 visits today Related posts:Oct 05,  · I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining..

Therefore, in this this post, I will address this question.. The first thing to consider is whether you want to design/improve data mining techniques, apply data mining techniques or do both.

Personally, I think that designing or improving data mining. Download Feature Extraction Full Report, PDF, PPT, Tutorial, Documentation and Feature Extraction Thesis Work with Project. Feature Extraction BE or BTech Projects MTech Projects have ready available custom and semi-custom Feature Extraction projects, to complete BE or BTech Project Works.

In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions.

Informally, a blob is a region of an image in which some properties are constant or approximately constant; all the points in a blob can be considered in some sense to be similar to each other.

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