School of Science, Engineering & Environment

Knowledge discovery in temporal databases (1995)
Presentation / Conference
Saraee, M., & Theodoulidis, B. (1995, February). Knowledge discovery in temporal databases. Presented at IEE Colloquium on Knowledge Discovery in Databases, London, UK

Knowledge discovery in databases is the process of applying statistical, machine learning and other techniques to conventional database systems. Our survey in knowledge discovery systems has indicated that up to date there is no knowledge discovery s... Read More about Knowledge discovery in temporal databases.

Program testing : prediction of software bugs (1981)
Thesis
Saraee, M. Program testing : prediction of software bugs. (Dissertation). University of Wyoming

A model to estimate the number of bugs remaining in a system at beginning of testing and integration is described., tested and discussed. This model base on software science metrics, was evaluated empirically by comparing predicated results with act... Read More about Program testing : prediction of software bugs.

Applying NLP to build a cold reading chatbot
Presentation / Conference
Tracey, P., Saraee, M., & Hughes, C. Applying NLP to build a cold reading chatbot. Presented at ISEEIE 2021: 2021 International Symposium on Electrical, Electronics and Information Engineering, Seoul, Republic of Korea

Chatbots are computer programs designed to simulate conversation by interacting with a human user. In this paper we present a chatbot framework designed specifically to aid prolonged grief disorder (PGD) sufferers by replicating the techniques perfor... Read More about Applying NLP to build a cold reading chatbot.

Data science in public mental health : a new analytic framework
Presentation / Conference
Silva, H., Saraee, M., & Saraee, M. Data science in public mental health : a new analytic framework. Presented at IEEE Symposium on Computers and Communications June 30 - July 3, 2019 – Barcelona, Spain

Understanding public mental health issues and finding solutions can be complex and requires advanced techniques, compared to conventional data analysis projects. It is important to have a comprehensive project management process to ensure that... Read More about Data science in public mental health : a new analytic framework.

Optimum parameter machine learning classification and prediction of Internet of Things (IoT) malwares using static malware analysis techniques
Thesis
Shaukat, S. (in press). Optimum parameter machine learning classification and prediction of Internet of Things (IoT) malwares using static malware analysis techniques. (Dissertation). University of Salford

Application of machine learning in the field of malware analysis is not a new concept, there have been lots of researches done on the classification of malware in android and windows environments. However, when it comes to malware analysis in the int... Read More about Optimum parameter machine learning classification and prediction of Internet of Things (IoT) malwares using static malware analysis techniques.

Prevalence, treatment, control and awareness of high blood pressure among first-ever stroke patients in Northwest England
Journal Article
Du, X., Cruickshank, J., Sourbutts, J., Summers, A., Roberts, N., Walton, E., …Theodoulidis, C. (in press). Prevalence, treatment, control and awareness of high blood pressure among first-ever stroke patients in Northwest England. Journal of Hypertension, 14(Supp.1), S244

Latent dirichlet markov allocation for sentiment analysis
Presentation / Conference
Bagheri, A., Saraee, M., & de Jong, F. Latent dirichlet markov allocation for sentiment analysis. Presented at The Fifth European Conference on Intelligent Management Systems in Operations (IMSIO 5), Thinklab, University of Salford

In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used t... Read More about Latent dirichlet markov allocation for sentiment analysis.

A state of the art survey on semantic web mining
Journal Article
Quboa, Q., & Saraee, M. A state of the art survey on semantic web mining. Intelligent Information Management, 05(01), 10-17. https://doi.org/10.4236/iim.2013.51002

The integration of the two fast-developing scientific research areas Semantic Web and Web Mining is known as Semantic Web Mining. The huge increase in the amount of Semantic Web data became a perfect target for many researchers to apply Data Mining t... Read More about A state of the art survey on semantic web mining.

A novel method in scam detection and prevention using data mining approaches
Presentation / Conference
Mokhtari, M., Saraee, M., & Haghshenas, A. A novel method in scam detection and prevention using data mining approaches. Presented at IDMC2008, Amir Kabir University, Tehran Iran

‘Scam’ is a fraudulence message by criminal intent sent to internet user mailboxes. Many approaches have been proposed to filter out unsolicited messages known as ‘spam’ from legitimate messages known as ‘ham’. However up to this date no suitable app... Read More about A novel method in scam detection and prevention using data mining approaches.

Outputs (165)