All Outputs (157)

Mining time series data : case of predicting consumption patterns in steel industry (2010)
Presentation / Conference
Fazel, A., Saraee, M., & Shamsinejad, P. (2010, June). Mining time series data : case of predicting consumption patterns in steel industry. Presented at The 2nd International Conference on Software Engineering and Data Mining, Chengdu, China

Analyzing and predicting with Time series is a method which used in different fields, including consumption pattern analyzing and predicting. In this paper, required amount of inventory items have been predicted with time series. At first, desired da... Read More about Mining time series data : case of predicting consumption patterns in steel industry.

Social networking approach for building trust in e-commerce (2010)
Journal Article
Saraee, M., Shahghlian, A., & Mazrooei, P. (2010). Social networking approach for building trust in e-commerce. Journal of communication and computer, 7(6), 49-53

E-commerce has played a major role for most business functions in today's competitive enterprises. In general, E-commerce has enabled online transactions while the most important factor in a transaction between two individuals is the degree of trust... Read More about Social networking approach for building trust in e-commerce.

The use of genetic algorithm for feature selection in video concept detection (2010)
Presentation / Conference
Momtazpour, M., Saraee, M., & Palhang, M. (2010, May). The use of genetic algorithm for feature selection in video concept detection. Presented at The 18th Iranian Conference on Electrical Engineering (ICEE), 2010, Isfahan Iran

Video semantic concept detection is considered as an important research problem by the multimedia industry in recent years. Classification is the most accepted method used for concept detection, where, the output of the classification system is inter... Read More about The use of genetic algorithm for feature selection in video concept detection.

Application of data mining in traffic management: case of city of Isfahan (2010)
Presentation / Conference
Zamani, Z., Pourmand, M., & Saraee, M. (2010, May). Application of data mining in traffic management: case of city of Isfahan. Presented at 2010 International Conference on Electronic Computer Technology (ICECT), Kuala Lumpur, Malaysia

This paper describes the work investigating the application of data mining tools to aid in the development of traffic signal timing plans. A case study was conducted to illustrate that the use of hierarchical cluster analysis. This approach can be us... Read More about Application of data mining in traffic management: case of city of Isfahan.

Application of data mining in predicting cell phones subscribers behavior employing the contact pattern (2010)
Presentation / Conference
Mansouri, R., Saraee, M., & Amirfattahi, R. (2010, February). Application of data mining in predicting cell phones subscribers behavior employing the contact pattern. Presented at DSDE, Bangalore, India

As telecommunication services becoming competitive, client contract management in this sector has become importance as well. In regards to the fact that a huge volume of telecommunication data especially details of the cell phone conversations exist... Read More about Application of data mining in predicting cell phones subscribers behavior employing the contact pattern.

Privacy-preserving data mining in peer to peer networks (2010)
Book Chapter
Hussain, I., Irakleous, M., Siddiqi, M., & Saraee, M. (2010). Privacy-preserving data mining in peer to peer networks. In proceedings from the Annual International Conference on Data Analysis, Data Quality and Metadata Management. GSTF

In recent years, privacy-preserving data mining has been studied extensively, due to the wide increase of sensitive information on the internet. A number of algorithms and procedures have been designed, some of which are yet to be implemented, but a... Read More about Privacy-preserving data mining in peer to peer networks.

Better classifiers for credit scoring : a comparison study between self organizing maps (SOM) and support vector machine (SVM) (2009)
Presentation / Conference
Shahlaii Moghadam, A., Shalbafzadeh, A., & Saraee, M. (2009, December). Better classifiers for credit scoring : a comparison study between self organizing maps (SOM) and support vector machine (SVM). Presented at 3rd International Conference on Communications and information technology, Vouliagmeni, Athens, Greece

Credit scoring has become an increasingly important area for financial institutions. Self Organizing Maps and Support Vector Machine are two techniques of data mining which are used in different applications of businesses. In this paper, we use descr... Read More about Better classifiers for credit scoring : a comparison study between self organizing maps (SOM) and support vector machine (SVM).

Better classifiers for credit scoring: a comparison study between self organizing maps (SOM) and support vector machine (SVM) (2009)
Presentation / Conference
Shahlaii Moghada, A., Shalbafzadeh, A., & Saraee, M. (2009, December). Better classifiers for credit scoring: a comparison study between self organizing maps (SOM) and support vector machine (SVM). Presented at 3rd International Conference on Communications and Information Technology, Vouliagmeni, Athens, Greece

Credit scoring has become an increasingly important area for financial institutions. Self Organizing Maps (SOM) and Support Vector Machine(SVM) are two techniques of data mining which are being used in different applications of businesses. In this p... Read More about Better classifiers for credit scoring: a comparison study between self organizing maps (SOM) and support vector machine (SVM).

Extracting temporal rules from medical data (2009)
Presentation / Conference
Meamarzadeh, H., Khayyambashi, M., & Saraee, M. (2009, November). Extracting temporal rules from medical data. Presented at The 2009 International Conference on Computer Technology and Development, Kota, Kinabalu, Malaysia

Trauma is the main leading cause of death in children; we need a tool to prevent and predict the outcome in these patients. Data mining is the science of extracting the useful information from a large amount of data sets or databases that leads to... Read More about Extracting temporal rules from medical data.

Data mining cardiovascular risk factors (2009)
Presentation / Conference
Kajabadi, A., Saraee, M., & Asgari, S. (2009, October). Data mining cardiovascular risk factors. Presented at International Conference on Application of Information and Communication Technologies, 2009. AICT 2009., Baku, Azerbaija

Nowadays, medical centers collect various data in different diseases. Investigating these data and obtaining useful results and patterns with respect to the diseases are the aims of using these data. Great amount of these data and confusions results... Read More about Data mining cardiovascular risk factors.

Web search personalization: A fuzzy adaptive approach (2009)
Presentation / Conference
Norouzzadeh, M., Bagheri, A., & Saraee, M. (2009, August). Web search personalization: A fuzzy adaptive approach. Presented at 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009, Beijing, China,

Today the growing rate of Web data has become so large and this is the reason for turning search engines into the major decision support systems for the Internet. In this paper, a novel and simple approach is proposed to improve Web search. The appro... Read More about Web search personalization: A fuzzy adaptive approach.

Application of self-organizing map to model a machining process (2009)
Presentation / Conference
Saraee, M., Moosavi, S., & Rezapoor, S. (2009, July). Application of self-organizing map to model a machining process. Presented at The 4th European Conference on Intelligent Management Systems in Operations, Salford, UK

Protein contact map prediction based on an ensemble learning method (2009)
Presentation / Conference
Habibi, N., & Saraee, M. (2009, January). Protein contact map prediction based on an ensemble learning method. Presented at International Conference on Computer Engineering and Technology (ICCET 2009),, Singapore

Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a sing... Read More about Protein contact map prediction based on an ensemble learning method.

A new and improved skin detection method using mixed color space (2009)
Book Chapter
Aznaveh, M., Mirzaei, H., Roshan, E., & Saraee, M. (2009). A new and improved skin detection method using mixed color space. In Human-Computer Systems Interaction (471-480). Berlin: Springer. https://doi.org/10.1007/978-3-642-03202-8_37

In this paper a new and robust approach of skin detection is proposed. In the previous proposed system, we introduced a method for skin detection based on RGB vector space. An extended and modified approach based on a mixed color space is presented.... Read More about A new and improved skin detection method using mixed color space.

Applying data mining in medical data with focus on mortality related to accident in children (2008)
Presentation / Conference
Saraee, M., Ehghaghi, Z., Meamarzadeh, H., & Zibanezhad, B. (2008, December). Applying data mining in medical data with focus on mortality related to accident in children. Presented at IEEE International Multitopic Conference, Karachi, Pakistan

Trauma is the main leading cause of death in children; we need a tool to prevent and predict the outcome in these patients. Data mining is the science of extracting the useful information from a large amount of data sets or databases that leads to st... Read More about Applying data mining in medical data with focus on mortality related to accident in children.

Optimizing classification techniques using genetic programming approach (2008)
Presentation / Conference
Saraee, M., & Sadjady, R. (2008, December). Optimizing classification techniques using genetic programming approach. Presented at 12th IEEE International Multitopic Conference, Conquering the Horizons of Future Technology (IEEE INMIC 2008), Karachi, Pakistan

Genetic Programming (GP) is a branch of Genetic Algorithms (GA) that searches for the best operation or computer program in search space of operations. At the same time classification is a data mining technique used to build model of data classes... Read More about Optimizing classification techniques using genetic programming approach.

Fuzzy block matching motion estimation for video compression (2008)
Presentation / Conference
Soroushmehr, S., Samavi, S., & Saraee, M. (2008, December). Fuzzy block matching motion estimation for video compression. Presented at 2008 IEEE 9th Malay International Conference on Communications, Kuala Lumpur, Malaysia,

Motion estimation demands intense computations. To overcome this obstacle, different techniques have been devised. In this paper an efficient spatio-temporal fuzzy search algorithm is proposed to shorten the search time without the loss of accuracy.... Read More about Fuzzy block matching motion estimation for video compression.

Estimating missing value in microarray data using fuzzy clustering and gene ontology (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, November). Estimating missing value in microarray data using fuzzy clustering and gene ontology. Presented at IEEE International Conference on Bioinformatics and Biomedicine, 2008. BIBM '08., Philadelphia, PA, USA,

Microarray experiments usually generate data sets with multiple missing expression values, due to several problems. In this paper, a new and robust method based on fuzzy clustering and gene ontology is proposed to estimate missing values in microarra... Read More about Estimating missing value in microarray data using fuzzy clustering and gene ontology.

Building trust in e-commerce using social networks approach (2008)
Presentation / Conference
Shahgholian, A., Mazrooei, P., & Saraee, M. (2008, October). Building trust in e-commerce using social networks approach. Presented at The International Conference on “E-Commerce and Developing Countries (ECDC 08), Isfahan, Iran

Dealing with missing values in microarray data (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, October). Dealing with missing values in microarray data. Presented at 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008, Rawalpindi, Pakistan,

Gene expression profiling plays an important role in a broad range of areas in biology. The raw gene expression data, may contain missing values. It is an important preprocessing step to accurately estimate missing values in microarray data, because... Read More about Dealing with missing values in microarray data.