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All Outputs (90)

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.

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.

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 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.

Mining GPS logs to augment location models
Presentation / Conference
Saraee, M., & Yamaner, S. Mining GPS logs to augment location models. Presented at The Sixth International Conference on Data Mining, Text Mining and their Business Applications May 25 – 27, 2005, Skiathos, Greece., 2005, Skiathos, Greece

The availability of mobile computing and satellite technologies make it possible to develop applications that are aware of user location.However, as the amount of collected data grows quickly, coming up with techniques that ease interpretation of suc... Read More about Mining GPS logs to augment location models.

Improving genetic algorithm with the help of novel twin removal method
Presentation / Conference
Imani, M., Pakizeh, E., & Saraee, M. Improving genetic algorithm with the help of novel twin removal method. Presented at 10th IASTED International Conference on Artificial Intelligence and Applications, held February 15-17, 2010 in Innsbruck, Austria., Innsbruck, Austria

Evolutionary Algorithms is one of the fastest growing areas of computer science. The simple Genetic Algorithm is fairly representative of other EAs. As they all use the same steps, significant researches in this area focus on Genetic Algorithm (GA).... Read More about Improving genetic algorithm with the help of novel twin removal method.