Outputs (170)

Data mining approaches on discovering knowledge for decision makers: towards sustainable groundwater resources management (2010)
Presentation / Conference
Taheri, H., Safavi, H., Saraee, M., & Afghari, N. (2010, July). Data mining approaches on discovering knowledge for decision makers: towards sustainable groundwater resources management. Presented at 2010 IEEE International Conference on Advanced Management Science (ICAMS), Chengdu, China

Rapid population growth, increased irrigation, and industrial development, dramatically increased risk of vulnerability in water resources especially groundwater resources all over the world. Because of the complexity of water resources management, t... Read More about Data mining approaches on discovering knowledge for decision makers: towards sustainable groundwater resources management.

A new path planner for autonomous mobile robots based on genetic algorithm (2010)
Presentation / Conference
Shamsinejad, P., Saraee, M., & Sheikholeslam, F. (2010, July). A new path planner for autonomous mobile robots based on genetic algorithm. Presented at he 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), Chengdu, China

One of the most important issues for autonomous mobile robots is finding paths in their environment. A local path planner must be able to design the path immediately and if possible with high accuracy and efficiency. In this p... Read More about A new path planner for autonomous mobile robots based on genetic algorithm.

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).