Application of Self Organizing Map (SOM) to model a machining process

Saraee, MH; Moosavi, S; Rezapour, S

doi:10.1108/17410381111149666

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.

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.

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.

A hybrid recommender system for dynamic web users (2011)
Journal Article
Nadi, S., Saraee, M., & Bagheri, A. (2011). A hybrid recommender system for dynamic web users. International Journal of Multimedia and Image Processing, 1(1), 3-8

Nowadays, providing tools that eases the interaction of users with websites is a big challenge in e-commerce. Recommender systems are useful tools which adapts the environment of websites compatible with users needs. In this paper, applying a hybrid... Read More about A hybrid recommender system for dynamic web users.

A survey on utilization of data mining approaches for dermatological (skin) diseases prediction (2011)
Journal Article
Barati, E., Saraee, M., Mohammadi, A., Adibi, N., & Ahmadzadeh, M. (2011). A survey on utilization of data mining approaches for dermatological (skin) diseases prediction

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.

Identification of disease-causing genes using microarray data mining and gene ontology (2011)
Journal Article
Mohammadi, A., Saraee, M., & Salehi, M. (2011). Identification of disease-causing genes using microarray data mining and gene ontology. BMC Medical Genomics, 4(12), 1-9. https://doi.org/10.1186/1755-8794-4-12

Background: One of the best and most accurate methods for identifying disease-causing genes is monitoring gene expression values in different samples using microarray technology. One of the shortcomings of microarray data is that they provide a small... Read More about Identification of disease-causing genes using microarray data mining and gene ontology.

Disordered metabolic evaluation in renal stone recurrence : a data mining approach (2011)
Journal Article
Saraee, M., Givchi, A., Taghi Adl, S., & Eshraghi, A. (2011). Disordered metabolic evaluation in renal stone recurrence : a data mining approach. Journal of Applied Computer Science & Mathematics (Suceava. Online), 5(11), 64-68

Nephrolithiasis is a disease with a high and even rising incidence. It has a high morbidity, generates high costs and has a high recurrence rate. Metabolic evaluation in renal stone formers allows the identification and quantification of risk factors... Read More about Disordered metabolic evaluation in renal stone recurrence : a data mining approach.

A Bayesian network approach for causal action rule mining (2011)
Journal Article
Shamsinejad, P., & Saraee, M. (2011). A Bayesian network approach for causal action rule mining. International journal of machine learning and computing (Online), 1(5), 528-533

Actionable Knowledge Discovery has attracted much interest lately. It is almost a new paradigm shift toward mining more usable and more applicable knowledge in each specific domain. Action Rule is a new tool in this research area that suggests some a... Read More about A Bayesian network approach for causal action rule mining.

FARS: Fuzzy Ant based Recommender System for Web Users (2011)
Journal Article
Nadi, S., Saraee, M., Bagheri, A., & Davarpanh Jazi, M. (2011). FARS: Fuzzy Ant based Recommender System for Web Users. International Journal of Computer Science Issues, 8(1), 203-209

Recommender systems are useful tools which provide an adaptive web environment for web users. Nowadays, having a user friendly website is a big challenge in e-commerce technology. In this paper, applying the benefits of both collaborative and... Read More about FARS: Fuzzy Ant based Recommender System for Web Users.

Application of Self Organizing Map (SOM) to model a machining process (2011)
Journal Article
Saraee, M., Moosavi, S., & Rezapour, S. (2011). Application of Self Organizing Map (SOM) to model a machining process. Journal of Manufacturing Technology Management, 22(6), 818-830. https://doi.org/10.1108/17410381111149666

Purpose: This paper aims to present a practical application of Self Organizing Map (SOM) and decision tree algorithms to model a multi-response machining process and to provide a set of control rules for this process. Design/methodology/approach: S... Read More about Application of Self Organizing Map (SOM) to model a machining process.

All Outputs (10)