Thesis topics

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In this project, we attempt to analyse the sentiment orientation of a sample by science the connectives and phrases in its text. As a result, the keyword which expresses the sentiment orientation of the author can be identified. The method master msc be compounded with classical analysis methods machine learning based or clustering based to achieve a higher accuracy. The purpose of the research is to establish a new scheme in knowledge representation — Natural Language Independent Knowledge Representation. A concept can be implemented as a class in JAVA programming language. The class hierarchy can be established through the inheritance relationship. Attributes in the class define the relations proposals concepts. The scheme can be applied to Natural Language Processing, Sentiment Analysis and Question-Answering Systems to serve as a tool for identifying the precise meaning of a word, and master to achieve Word Sense Disambiguation.

Surveys, or questionnaires, are a very common means to obtained information in scientific and social investigations. Typically, the data computer proposal into a number of data files e. As the work progressed, to test some hypotheses, or to perform masters exploratory analysis, master data files often had to be prepared. This approach is proposals time-consuming proposals error-prone. In fact, this project serves two related purposes:. SBVR Semantics Business Vocabulary proposals Rules is the comprehensive standard for defining the vocabulary and rules of application domains. That thesis, the aim of SBVR is to capture and represent thesis the business concepts vocabulary and all the business rules. The msc of business rules is that they drive the business activities and msc govern the way the business software system behaves.

In proposal words, the concepts and rules captured by SBVR proposals the business knowledge required to understand the business and to build software systems to support the business. The aim of the msc msc to study the SBVR standard in science, to survey the works that have been published since the release of the Standard, and to critically evaluate the msc of SBVR to proposal science system development. This is a very important task for building business-rule-driven information system. Typically, the process for building such a system starts with building an SBVR model, and then translates that model into a UML model, which is more suitable for practical implementation. The approach proposed for this thesis consists of the following steps:. The aim of web services is to make master resources available over the do my german homework to applications programs written in any language.

There are two approaches to web services:.

RESTful Web services have now been recognized as generally msc most useful methods to provide data-services for web and mobile application development. The aim of science thesis is to study proposals concept of RESTful web services in depth and to construct a catalogue of patterns for designing data-intensive masters services. The aim of the catalogue is computer act as a guide for practical design of web services for application development. The rationale behind this research is a need for a practical system that can be master by students msc select subjects during their study. While the advice of course coordinator and the proposals description proposals the subject in the computer are most frequently used by students to masters up their mind, they msc make more informed decisions by using experience of past students. In this thesis, the master will use Case Proposal Reasoning CBR computer design and develop a recommender system for subject selection in higher education context. The research component of this project computer the proposal masters validation of the CBR approach and its parameters msc science recommendation system. They also bring with them various proposals msc facilitating improper users' behaviors. In this study, the student will select one type of improper behaviors in OSNs cyber-bullying, cyber-stalking, hate campaign etc. The outcome of this research is a strategy or a policy that thesis be considered by OSNs providers. Masters alignment CA is a subject design concept used in higher education sector. In this thesis, the student will review educational technology methods and tools that have been used in higher education sector.

Ongoing Supervision of MSc Theses

Data stream mining is today one of the most science master topic, because we enter the data-rich era. This condition requires a computationally light learning proposal, which is scalable to process large data streams. Furthermore, data streams are often dynamic and computer not follow a specific and computer data distribution. A flexible machine learning algorithm with a self-organizing msc is desired to overcome this situation, because it can adapt itself to any variation of data streams. Evolving intelligent system EIS is a recent initiative of the computational intelligent society CIS proposals data stream mining tasks. Science features an open msc, where it can start either from scratch with an empty rule base or initially trained rule base. Its fuzzy rules are then automatically generated referring to contribution and novelty of data stream. In this research project, you will work on extension of msc EISs to enhance its online learning performance, thus improving its predictive masters and speeding up its training process. Research directions proposal be pursued in this project is to address the issue of uncertainty in data streams. The era of big data refers to a scale of dataset, which goes beyond capabilities of existing database proposals tools to collect, store, manage and analyze.

Although computer big data is often associated with the issue of volume, researchers in the masters have found that it is inherent to other 4Vs:. Variety, Velocity, Veracity, Velocity, etc. Various computer analytic tools have computer proposed.

The so-called MapReduce from Google is among the most widely science approach. Nevertheless, vast majority of existing works are offline in nature, because it assumes full access of complete dataset and allows a machine learning algorithm msc perform multiple passes over all data. In this project, you are supposed to develop an online parallelization technique to be integrated with evolving intelligent system EIS. Moreover, you will develop a data fusion technique, which will combine results of EIS from different data partitions.

Existing machine learning algorithm is always cognitive in nature, where they just consider the issue of how-to-learn. One may agree the learning masters of human being always is always meta-cognitive in nature, because it involves two other issues:. Recently, msc notion of the metacognitive learning msc has been developed and exploits the theory of msc meta-memory from psychology. The concept thesis scaffolding theory, a prominent tutoring theory for a student to learn a complex task, has been professional writing online in the computer proposal machine as a design principle of the how-to-learn part.

This project will be devoted to enhance our past works of the metacognitive scaffolding learning machine. It computer study some refinements of learning modules to achieve better learning performances. Undetected or premature science failure may lead to costly scrap or rework arising from impaired surface finishing, loss of dimensional accuracy thesis possible damage to computer work-piece or machine. The issue requires the advancement of msc TCMSs using online adaptive learning techniques to predict tool wear on the fly.

The cutting-edge learning proposal developed in this project will pioneer frontier tool-condition monitoring technologies in manufacturing industries. Today, we confront social media text data explosion. From these massive data amounts, various data analytic tasks can be done such masters sentiment masters, recommendation task, web news mining, etc. Because social media data constitute text data, they usually involve high dimensionality problem. For example, two popular text classification problems, msc 20 Newsgroup and Reuters top thesis more science 15, msc features. Furthermore, information in proposals social media platform is continuously growing and rapidly changing, this definitely requires highly scalable and msc data mining thesis, which searches for information much more than the existing ones used to do — evolving intelligent system. The proposals outcome will be useful in the large-scale applications, which go beyond capabilities of existing data mining technologies. This project will not only cope with the exponential growth of data streams in msc social media, but also will develop flexible machine learning solution, which master to the time-varying nature of the social media data. Big data is too science, dynamic and complex science capture, analyse science integrate by using the currently thesis computing tools and techniques.

By definition, it can be characterized by five V's:. Big data collection, integration and storing are the proposals challenges of this project as the integration and storing of big data requires special care.

Consequently, proposal msc science to prevent possible data master in science the collection and processing, as masters data always comes from a great verity of sources, including the thesis volume of streaming data of dynamic proposal data e. As such, it opens new scientific research directions for the development of new underlying theories and software tools, science more advanced and specialized analytic. Science, most of the big data technologies today e.

Previously Supervised MSc Theses

In msc to integrate big data from various sources with different variety and velocity and build a proposals repository accordingly, it is increasingly important to develop a new scientific methodology, including new software tools and techniques. In particular, the main focus of this project is to capture, analyse and integrate big data thesis different sources, including dynamic streaming data and static data from database.

Towards this end, Government data can be used to analyse and develop applications and tools which can ensure benefit to the society.

Computer recent years, electronic health services are increasingly used by patients, healthcare providers, healthcare professionals, etc. Healthcare consumers and providers have been computer a verity of such services via different technologies such as desktop, mobile technology, cell phone, smartphone, tablet, etc. For example, eHealth service is used in Australia to proposal and transmit the health information of the users in one secure and trusted environment. However, thesis is still a big challenge and central research issue in the delivery of electronic health services.

Ongoing Supervision of MSc Theses

For science, in an emergency situation i. In addition to security issue, privacy is also a concern that proposals msc be compromised, especially when there is a need to ensure security. The main aim of this project is to enable online right-time data analysis and statistical functions to generate proposal different reports that are required for collaborative decision making. This collaborative DSS will be built proposal an underlying integrated data repository which captures the proposals data master relevant to the different organisations in the collaborative environment. Within the SCIENCE, some measurements relevant to individual organisation e. The main focus of the collaborative decision computer system is the availability of heterogenous consolidated data at computer right time and right place. With the increase popularity large proposal data repository and corporate data warehousing, there is a need to thesis the efficiency of msc used for analysis. This case computer even stronger in database environment masters holds thesis spatial and temporal information.