Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http: Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms.
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.
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. 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.
Thesis on speech processing, - Buy diploma in china. Custom essay writing assumes a profound research on the given topic. Fortunately, all of our writers have degrees in one or several scientific areas. Aloha, I'm the chief scientist at regardbouddhiste.comusly, I was an adjunct professor at Stanford's computer science department and the founder and CEO/CTO of MetaMind which was acquired by Salesforce in I enjoy improving the state of the art in AI through research (deep learning, natural language processing and computer vision) and making AI easily accessible to everyone. A proverb (from Latin: proverbium) is a simple, concrete, traditional saying that expresses a truth based on common sense or experience. Proverbs are often metaphorical and use formulaic regardbouddhiste.comtively, they form a genre of folklore.. Some proverbs exist in more than one language because people borrow them from languages and cultures similar to theirs.
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, 11 visits today Related posts:Natural Language Processing Thesis Topics brings together a team of world class experts who will work exclusively for you in your ideal thesis.
Natural Language Processing is a preliminary field in today’s computer based world. Chair: Joseph S. Perkell, PhD, MIT, whose areas of expertise are the sensory-motor control of speech production and voice/speech production and acoustics Co-Supervisor: Robert E.
Hillman, PhD, MGH, whose area of expertise is in the clinical evaluation of human voice production. Dec 26, · Image Processing Topics. Over the decades, rapid growing digital computation is widening the academic and professional visions.
Image processing is one such unit of digital computation, emerged as a whole new academic discipline, which is in a demand today. My research interests include signal processing, machine learning and pattern recognition applied to speaker recognition and verification, speaker recognition anti-spoofing, speaker diarization, speaker segmentation, speaker clustering, speech activity detection and speech recognition.
Unsupervised Speech Processing with Applications to Query-by-Example Spoken Term Detection by Thesis Supervisor Accepted by..
Kolodziejski Chairman, Department Committee on Graduate Theses. 2. Unsupervised Speech Processing with Applications to Query . Our Centre is an internationally recognised leader in audio-visual machine perception research. With a diverse community of more than researchers, we are one of the largest audio and vision research groups in the UK.