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Prof Mo Saraee's Outputs (178)

Improving similarity search in time series using wavelets (2006)
Journal Article
Liabotis, I., Theodoulidis, B., & Saraee, M. (2006). Improving similarity search in time series using wavelets. International Journal of Data Warehousing and Mining, 2(2), 1116-1137. https://doi.org/10.4018/978-1-59904-951-9.ch064

Sequences constitute a large portion of data stored in databases. Data mining applications require the ability to process similarity queries over a large amount of time series data. The query processing performance is an important factor that needs t... Read More about Improving similarity search in time series using wavelets.

Data mining application : case of road traffic accidents in the UK West Midlands area 2000 (2005)
Presentation / Conference
Saraee, M., Kerry, J., Llyod, M., & Markey, C. (2005, July). Data mining application : case of road traffic accidents in the UK West Midlands area 2000. Presented at 3rd European Conference on Intelligent Management Systems in Operations, University of Salford

For this assignment we are aiming to use data mining
techniques in the analysis of data recorded about road
traffic accidents in the West Midlands Area in the year
2000. This data will then hopefully provide drivers with
guidelines relating to wh... Read More about Data mining application : case of road traffic accidents in the UK West Midlands area 2000.

Identifying trends concerning computer science students with dyslexia: A data mining approach (2005)
Presentation / Conference
Saraee, M., Edwards, C., & Peers, A. (2005, June). Identifying trends concerning computer science students with dyslexia: A data mining approach. Presented at International Conference on Computers for People with Special Needs, Las Vegas, USA

With dyslexia becoming more widely accepted as a learning disability, many questions come to light about what is being done to help those affected by it. Are those diagnosed given enough support in early education and are they being encouraged to con... Read More about Identifying trends concerning computer science students with dyslexia: A data mining approach.

A data mining approach to analysis and prediction of movie ratings (2004)
Presentation / Conference
Saraee, M., White, S., & Eccleston, J. (2004, September). A data mining approach to analysis and prediction of movie ratings. Presented at The Fifth International Conference on Data Mining, Text Mining and their Business Applications,, Malaga, Spain

This paper details our analysis of the Internet Movie Database (IMDb), a free, user-maintained, online resource of production details for over 390,000 movies, television series and video games, which contains information such as title, genre, box-off... Read More about A data mining approach to analysis and prediction of movie ratings.

One scan is enough: Optimising association rules mining (2004)
Presentation / Conference
Saraee, M., & Al-Mejrab, M. (2004, June). One scan is enough: Optimising association rules mining. Presented at The 2004 International Conference on Information and Knowledge Engineering, June 21-24, 2004, Las Vegas, USA

Data mining is as a new area of research has taken its place as one of the most important techniques in the decision making process. Mining association rules is one of simple yet powerful technique in the data mining process The problem of mining ass... Read More about One scan is enough: Optimising association rules mining.

Data mining application : case of road traffic accidents in the UK West Midlands area 2000 (2004)
Presentation / Conference
Saraee, M., Kerry, J., Lloyd, M., & Markey, C. (2004, June). Data mining application : case of road traffic accidents in the UK West Midlands area 2000. Presented at IC-AI, Las Vegas, USA

We are aiming to use data mining techniques in the analysis of data recorded about road traffic accidents in the UK West Midlands Area in the year 2000. This data will then hopefully provide drivers with guidelines relating to what measures can be t... Read More about Data mining application : case of road traffic accidents in the UK West Midlands area 2000.

SVM categorizer: a generic categorization tool using support vector machines (2004)
Presentation / Conference
Kapoutsis, E., Theodoulidis, B., & Saraee, M. (2004, June). SVM categorizer: a generic categorization tool using support vector machines. Presented at IC-AI 2004, Las Vegas, USA

Supervised text categorisation is a significant tool considering the vast amount of structured, unstruc-tured, or semi-structured texts that are available from internal or external enterprise resources. The goal of supervised text categorisation is t... Read More about SVM categorizer: a generic categorization tool using support vector machines.

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