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PhD thesis Topics

Latest PhD topics in computer science

Latest Ph.D. thesis topics in computer science is all about what practical knowledge you have gained in your B.Tech, M.tech Selecting a decent dissertation topic is significant, as this can offer a powerful foundation upon that to make the remainder of the work. A weak treatise topic can inevitably result in a weak dissertation; one thing that you would like to avoid happening in the...

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Association rule mining

Association Rule Mining

Association rules are one of the major techniques of data mining. It finds frequent patterns, associations, correlations or informal structures among sets of items or objects in transactional databases and other information repositories.It is one of the most important data mining tasks, which aims at finding interesting associations and correlation relationships among large sets of data items. A typical example of association rule mining is...

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Sentiment Analysis Block diagram

Sentiment Analysis

Sentiment analysis can be termed as opinion mining. It uses Natural Language Processing (NLP), Computational fundamentals and text analysis to recognize and extract subjective information in source materials. It can also be termed as Review mining and Appraisal Extraction. Synonyms of Opinion The basic task of sentiment analysis is to classify the given text on the basis of polarity at the document level, sentence level...

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Data Classification Parameters

Data Classification Parameters

Parameters for |Data Classification Evaluation The parameters for the evaluation of sentiment analysis include various terms. The terms are True positives, true negatives, false negatives and false positives.These are the terms that are used to compare the class labels assigned to documents with the classes the items actually belong to by a classifier.True positive terms are truly classified as positive terms.False positive are not labeled...

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Data Mining Tools

Data Mining Tools

Data mining has a wide number of applications ranging from marketing and advertising of goods, services or products, artificial intelligence research, biological sciences, crime investigations to high-level government intelligence. Due to its widespread use and complexity involved in building data mining applications, a large number of Data mining tools have been developed over decades. Every tool has its own advantages and disadvantages. Within data mining,...

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Data Mining KDD Process

Data Mining

In the field of Information technology, we have a huge amount of data available that need to be turned into useful information. Major sources of abundant data Business: Web, e-commerce, transactions, stocks,… Science: Remote sensing, bioinformatics, scientific simulation, … Society and everyone: news, digital cameras, YouTube We are data rich, but information poor Data mining Data Mining is defined as extracting the information from the...

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