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Determining the locations visited by GPS users: a clustering approach (2004)
Presentation / Conference
Saraee, M., Yamaner, S., Dai, M., & Long, D. (2004, June). Determining the locations visited by GPS users: a clustering approach. Presented at CISST 2004, Las Vegas, USA

The aim of our research is to use the GPS log captured over 2 days from a PDA and try to extract locations the user have visited. For this research, we have logged GPS data over two days when the user was moving at least 2 miles per hour. To achieve... Read More about Determining the locations visited by GPS users: a clustering approach.

A web based management of references (2004)
Presentation / Conference
O'Shea, S., Saraee, M., & Vadera, S. (2004, January). A web based management of references. Presented at The 2004 International Research Conference on Innovations in Information Technology (IIT2004), Dubai, UAE, Dubai, UAE

During the evolution of research from the beginning of a project to the end a large amount of information is accumulated from books, journals, articles, manuals and the internet. Managing all this information is a complex and crucial part, especially... Read More about A web based management of references.

Mining knowledge in train scheduling data (2001)
Presentation / Conference
Saraee, M., & Theodoulidis, B. (2001, July). Mining knowledge in train scheduling data. Presented at The 2nd European Conference on Intelligent Management Systems in Operations, Salford, UK

TempoMiner: towards mining time-oriented data (2000)
Thesis
Saraee, M. TempoMiner: towards mining time-oriented data. (Thesis). University of Manchester, Institute of Science and Technology

The time dimension is a unique and powerful dimension in every enterprise data. In dynamic application such as financial and medical applications representing data as it changes overtime is a common problem. There are diverse applications that requir... Read More about TempoMiner: towards mining time-oriented data.

Pattern discovery in time-oriented data (1998)
Presentation / Conference
Saraee, M., Theodoulidis, B., & Koundourakis, G. (1998, November). Pattern discovery in time-oriented data. Presented at International Conference on Advances in Pattern Recognition, Plymouth, England

We present a data mining system, EasyMiner which has been developed for interactive mining
of interesting patterns in time-oriented databases. This system implements a wide spectrum of
data mining functions, including generalisation, characterisati... Read More about Pattern discovery in time-oriented data.

EasyMiner: data mining in medical databases (1998)
Presentation / Conference
Saraee, M., Koundourakis, G., & Theodoulidis, B. (1998, October). EasyMiner: data mining in medical databases. Presented at IEE Colloquium on Intelligent Methods in Healthcare and Medical Applications, York, UK

Data mining techniques have rarely been applied to medical domain. The University of Manchester Institute of Science and Technology (UMIST) is currently in the process of experimenting with a data mining project using an extensive clinical database o... Read More about EasyMiner: data mining in medical databases.

Data mining in temporal databases (1998)
Presentation / Conference
Saraee, M., & Theodoulidis, B. (1998, October). Data mining in temporal databases. Presented at Panhellenic Conference on New Information Technology Athens, Hellas, Athens, Greece

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.

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 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.

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.