Phd thesis in datamining

Use of different types of attributes Insensitivity K-means clustering is an important type of clustering used on the undefined data. It is an unsupervised learning method.

Phd thesis in datamining

Student Theses Related to Data Mining (Since )

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 data 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.

Journal Paper (SCI/Scopus)

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.

Phd thesis in datamining

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.

hello, i want to start my phd in datamining.I dont know what topic i should select in urbanagricultureinitiative.com guide me. PHD Guidance. Research is an endeavor taken by individual to find something new and innovative. Today, lots of scholars are interested to work in an innovative platform under the guidance of research supervisor to acquire their desired PHD degree. A MINING TECHNIQUES F OR STR UCTURED AND SEMISTR UCTURED D A T a disser t a tion submitted to the dep ar e read this dissertation and that in m y opinion it is fully adequate, in scop e and qualit y Data mining is the application of sophisticated analysis to large amoun ts of data in order to disco v.

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.

Phd thesis in datamining

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.

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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.International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research.

In a previous post, I wrote about the top 10 data mining algorithms, a paper that was published in Knowledge and Information urbanagricultureinitiative.com “selective” process is the same as the one that has been used to identify the most important (according to answers of the survey) data mining problems.

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It seeks to promote the exchange of information concerning the foundations of digital games, technology used to develop digital games, and the study of digital games and their design, broadly construed.

PhD Thesis on Data Mining Projects provides you to get well knowledge based innovative idea in your research. We have + well experienced professionals.

PHD RESEARCH TOPIC IN DATA MINING. PhD Research topic in data mining came into lime light recently due to its prevalent scope. Mine, the word refers to extraction of something. Data Mining involves mining of information from the database and transforming it into more understandable structure.

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Top 10 challenging problems in data mining | Data Mining Blog - urbanagricultureinitiative.com