Outputs (19)

Robust and cost-effective approach for discovering action rules (2011)
Journal Article
Kalanat, N., Shamsinejad, P., & Saraee, M. (2011). Robust and cost-effective approach for discovering action rules. International journal of machine learning and computing (Online), 1(4), 325-331. https://doi.org/10.7763/IJMLC.2011.V1.48

The main goal of Knowledge Discovery in Databases is to find interesting and usable patterns, meaningful in their domain. Actionable Knowledge Discovery came to existence as a direct respond to the need of finding more usable patterns called acti... Read More about Robust and cost-effective approach for discovering action rules.

Hybrid rule threshold adjustment system for intrusion detection (2011)
Presentation / Conference
Moghimi, M., & Saraee, M. (2011, September). Hybrid rule threshold adjustment system for intrusion detection. Presented at The 8th International ISC Conference on Information Security and Cryptology (ISCISC 2011), September 14-15, 2011 - Ferdowsi University of Mashhad,, Mashhad, Iran

Generally, multiple IDSs generates huge volume of alerts every minute and to manage these alerts, rule-based alert management systems are very important. It is critical to keep the rules inside these systems updated, based on the ever changing networ... Read More about Hybrid rule threshold adjustment system for intrusion detection.

Hybrid rule threshold adjustment system for intrusion detection (2011)
Presentation / Conference
Moghimi, M., & Saraee, M. (2011, September). Hybrid rule threshold adjustment system for intrusion detection. Presented at The 8th International ISC Conference on Information Security and Cryptology (ISCISC 2011), September 14-15, 2011 - Ferdowsi University of Mashhad,, Mashhad, Iran

Generally, multiple IDSs generates huge volume of alerts every minute and to manage these alerts, rule-based alert management systems are very important. It is critical to keep the rules inside these systems updated, based on the ever changing networ... Read More about Hybrid rule threshold adjustment system for intrusion detection.

Modeling batch annealing process using data mining techniques for cold rolled steel sheets (2011)
Presentation / Conference
Saraee, M., Moghimi, M., & Bagheri, A. (2011, August). Modeling batch annealing process using data mining techniques for cold rolled steel sheets. Presented at The 17th Annual ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Diego

The annealing process is one of the important operations in production of cold rolled steel sheets, which significantly influences the final product quality of cold rolling mills. In this process, cold rolled coils are heated slowly to a desired temp... Read More about Modeling batch annealing process using data mining techniques for cold rolled steel sheets.

Examination of the online reputation systems problems and provide solution (2011)
Presentation / Conference
Ehghaghi Kakoli, Z., Nematbakhsh, M., & Saraee, M. (2011, August). Examination of the online reputation systems problems and provide solution. Presented at 13th IEEE Joint International Computer Science and Information Technology Conference (JICSIT 2011), Chongqing, China

Electronic commerce communities are considered to be communities that provide opportunities for the sellers on the one hand and include threats for the purchasers on the other hand. One of the ways to reduce such threats in these open communities... Read More about Examination of the online reputation systems problems and provide solution.

A new unsupervised feature selection method for text clustering based on genetic algorithms (2011)
Journal Article
Shamsinejadbabki, P., & Saraee, M. (2012). A new unsupervised feature selection method for text clustering based on genetic algorithms. Journal of Intelligent Information Systems, 38(3), 669-684. https://doi.org/10.1007/s10844-011-0172-5

Nowadays a vast amount of textual information is collected and stored in various databases around the world, including the Internet as the largest database of all. This rapidly increasing growth of published text means that even the most avid reader... Read More about A new unsupervised feature selection method for text clustering based on genetic algorithms.

Defining a new measure for synchronization of multi-channel epileptic depth-EEG signals based on identification of parameters of a computational model (2011)
Presentation / Conference
Shayegh, F., Amirfattahi, R., Sadri, S., Ansari-Asl, K., & Saraee, M. (2011, July). Defining a new measure for synchronization of multi-channel epileptic depth-EEG signals based on identification of parameters of a computational model. Presented at Intelligent Systems and Control / 742 : Computational Bioscience (ISC 2011), Cambridge, UK

There are various methods to measure the value of synchronization of signals. These methods usually do not consider the sources of the signals. Therefore, these methods usually underestimate the coupling phenomena of the sources of the system that ge... Read More about Defining a new measure for synchronization of multi-channel epileptic depth-EEG signals based on identification of parameters of a computational model.

A new framework for online rule threshold adjustment in intrusion detection (2011)
Presentation / Conference
Moghimi, M., & Saraee, M. (2011, June). A new framework for online rule threshold adjustment in intrusion detection. Presented at 2011 CSI International Symposium on Computer Science and Software Engineering (CSSE), Tehran

Generally, rule-based systems work to make sense of a large volume of alerts generated by the intrusion detection systems (IDSs) every minute. Hence, it is very significant to verify that these systems are error-free and that the rules are suitable f... Read More about A new framework for online rule threshold adjustment in intrusion detection.

Discovering cost-effective action rules (2011)
Presentation / Conference
Kalanat,, N., Shamsinejad, P., & Saraee, M. (2011, June). Discovering cost-effective action rules. Presented at 4th IEEE International Conference on Computer Science and Information Technology (IEEE ICCSIT 2011),, Chengdu, China

Mining informative patterns from databases is the historical task of data mining. But now, mining actionable patterns is becoming the new duty of data mining. Most of machine learning and data mining algorithms only focus on finding patterns and usua... Read More about Discovering cost-effective action rules.

A survey on utilization of data mining approaches for dermatological (skin) diseases prediction (2011)
Journal Article
Barati, E., Saraee, M., Mohammadi, A., & Adibi, N. (2011). A survey on utilization of data mining approaches for dermatological (skin) diseases prediction. #Journal not on list,

Due to recent technology advances, large volumes of medical data is obtained. These data contain valuable information. Therefore data mining techniques can be used to extract useful patterns. This paper is intended to introduce data mining and its va... Read More about A survey on utilization of data mining approaches for dermatological (skin) diseases prediction.