All Outputs (157)

Mars image segmentation with most relevant features among wavelet and color features (2015)
Presentation / Conference
Rashno, A., Saraee, M., & Sadri, S. (2015, April). Mars image segmentation with most relevant features among wavelet and color features. Presented at AI & Robotics (IRANOPEN), 2015

Mars rover is a robot which explores the Mars surface, is equipped to front-line Panoramic Camera (Pancam). Automatic processing and segmentation of images taken by Pancam is one of the most important and most significant tasks of Mars rover since th... Read More about Mars image segmentation with most relevant features among wavelet and color features.

PSA : a hybrid feature selection approach for Persian text classification (2015)
Journal Article
Bagheri, A., Saraee, M., & Nadi, S. (2015). PSA : a hybrid feature selection approach for Persian text classification. Journal of computing and security (Online), 1(4), 261-272

In recent decades, as enormous amount of data being accumulated, the number of text documents is increasing vastly. E-mails, web pages, texts, news and articles are only part of this grow. Thus the need for text mining techniques, including automatic... Read More about PSA : a hybrid feature selection approach for Persian text classification.

A novel feature selection method for text classification using association rules and clustering (2014)
Journal Article
Sheydaei, N., Saraee, M., & Shahgholian, A. (2015). A novel feature selection method for text classification using association rules and clustering. Journal of Information Science, 41(1), 3-15. https://doi.org/10.1177/0165551514550143

Readability and accuracy are two important features of a good classifier. For reasons such as acceptable accuracy, rapid training and high interpretability, associative classifiers have been recently used in many categorization tasks. These features... Read More about A novel feature selection method for text classification using association rules and clustering.

Persian sentiment analyzer : a framework based on a novel feature selection method (2014)
Journal Article
feature selection method. International Journal of Artificial Intelligence, 12(2), 115-129

In the recent decade, with the enormous growth of digital content in internet and databases, sentiment analysis has received more and more attention between information retrieval and natural language processing researchers. Sentiment analysis aims... Read More about Persian sentiment analyzer : a framework based on a novel feature selection method.

MRAR : mining multi-relation association rules (2014)
Journal Article
Ramezani, R., Saraee, M., & Nematbakhsh, M. (2014). MRAR : mining multi-relation association rules. Journal of computing and security (Online), 1(2), 133-158

In this paper, we introduce a new class of association rules (ARs) named “Multi-Relation Association Rules” which in contrast to primitive ARs (that are usually extracted from multi-relational databases), each rule item consists of one entity and... Read More about MRAR : mining multi-relation association rules.

A fuzzy method for discovering cost-effective actions from data (2014)
Journal Article
Kalanat, N., Shamsinejadbabaki, P., & Saraee, M. (2014). A fuzzy method for discovering cost-effective actions from data. Journal of Intelligent and Fuzzy Systems, 28(2), 757-765. https://doi.org/10.3233/IFS-141357

Data mining techniques are often confined to the delivery of frequent patterns and stop short of suggesting how to act on these patterns for business decision-making. They require human experts to post-process the discovered patterns manually. Theref... Read More about A fuzzy method for discovering cost-effective actions from data.

ADM-LDA : an aspect detection model based on topic modelling using the structure of review sentences (2014)
Journal Article
Bagheri, A., Saraee, M., & de Jong, F. (2014). ADM-LDA : an aspect detection model based on topic modelling using the structure of review sentences. Journal of Information Science, 40(5), 621-636. https://doi.org/10.1177/0165551514538744

Probabilistic topic models are statistical methods whose aim is to discover the latent structure in a large collection of documents. The intuition behind topic models is that, by generating documents by latent topics, the word distribution for each t... Read More about ADM-LDA : an aspect detection model based on topic modelling using the structure of review sentences.

Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews (2013)
Journal Article
Bagheri, A., Saraee, M., & de Jong, F. (2013). Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Systems, 52(2013), 201-213. https://doi.org/10.1016/j.knosys.2013.08.011

With the rapid growth of user-generated content on the internet, automatic sentiment analysis of online customer reviews has become a hot research topic recently, but due to variety and wide range of products and services being reviewed on the intern... Read More about Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews.

Causality-based cost-effective action mining (2013)
Journal Article
Shamsinejadbabki, P., Saraee, M., & Blockeel, H. (2013). Causality-based cost-effective action mining. Intelligent Data Analysis, 17(6), 1075-1091. https://doi.org/10.3233/IDA-130621

In many business contexts, the ultimate goal of knowledge discovery is not the knowledge itself, but putting it to use. Models or patterns found by data mining methods often require further post-processing to bring this about. For instance, in churn... Read More about Causality-based cost-effective action mining.

Natural language processing and information systems : 18th international conference on applications of natural language to information systems, NLDB 2013, Salford, UK, June 2013; Proceedings (2013)
Book
(2013). E. Métais, F. Meziane, M. Saraee, & S. Vadera (Eds.), Natural language processing and information systems : 18th international conference on applications of natural language to information systems, NLDB 2013, Salford, UK, June 2013; Proceedings. Springer

This book constitutes the refereed proceedings of the 18th International Conference on Applications of Natural Language to Information Systems, held in Salford, UK, in June 2013. The 21 long papers, 15 short papers and 17 poster papers presented... Read More about Natural language processing and information systems : 18th international conference on applications of natural language to information systems, NLDB 2013, Salford, UK, June 2013; Proceedings.

Finding association rules in linked data, a centralization approach (2013)
Presentation / Conference
Ramezani, R., Saraee, M., & Nematbakhsh, M. (2013, May). Finding association rules in linked data, a centralization approach. Presented at 21st Iranian Conference on Electrical Engineering (ICEE), 2013, Mashhad, Iran

Linked Data is used in the Web to create typed links between data from different sources. Connecting diffused data by using these links provides new data which could be employed in different applications. Association Rules Mining (ARM) is a data mini... Read More about Finding association rules in linked data, a centralization approach.

Sentiment classification in Persian: Introducing a mutual information-based method for feature selection (2013)
Presentation / Conference
Bagheri, A., Saraee, M., & de Jong, F. (2013, May). Sentiment classification in Persian: Introducing a mutual information-based method for feature selection. Presented at 21st Iranian Conference on Electrical Engineering (ICEE), 2013, Mashhad, Iran

With the enormous growth of online reviews in Internet, sentiment analysis has received more and more attention in information retrieval and natural language processing community. Up to now there are very few researches conducted on sentiment analysi... Read More about Sentiment classification in Persian: Introducing a mutual information-based method for feature selection.

Protein contact map prediction using committee machine approach (2013)
Journal Article
Habibi, N., Saraee, M., & Korbekandi, H. (2013). Protein contact map prediction using committee machine approach. International Journal of Data Mining and Bioinformatics, 7(4), 397-415. https://doi.org/10.1504/IJDMB.2013.054226

A protein contact map is a simplified representation of the protein's spatial structure. In recent years, contact map prediction has received a great deal of attention in Bioinformatics. Committee Machine is a machine learning method which shares t... Read More about Protein contact map prediction using committee machine approach.

Feature selection methods in Persian sentiment analysis (2013)
Journal Article
Saraee, M., & Bagheri, A. (2013). Feature selection methods in Persian sentiment analysis. Lecture notes in computer science, 7934, 303-308. https://doi.org/10.1007/978-3-642-38824-8_29

With the enormous growth of digital content in internet, various types of online reviews such as product and movie reviews present a wealth of subjective information that can be very helpful for potential users. Sentiment analysis aims to use automat... Read More about Feature selection methods in Persian sentiment analysis.

An unsupervised aspect detection model for sentiment analysis of reviews (2013)
Journal Article
Bagheri, A., Saraee, M., & Jong, F. (2013). An unsupervised aspect detection model for sentiment analysis of reviews. Lecture notes in computer science, 7934, 140-151. https://doi.org/10.1007/978-3-642-38824-8_12

With the rapid growth of user-generated content on the internet, sentiment analysis of online reviews has become a hot research topic recently, but due to variety and wide range of products and services, the supervised and domain-specific models are... Read More about An unsupervised aspect detection model for sentiment analysis of reviews.

A multi-armed bandit approach to cost-sensitive decision tree learning (2012)
Presentation / Conference
Lomax, S., Vadera, S., & Saraee, M. (2012, December). A multi-armed bandit approach to cost-sensitive decision tree learning. Presented at 2012 IEEE 12th International Conference on Data Mining Workshops, Brussels, Belgium

Several authors have studied the problem of inducing decision trees that aim to minimize costs of misclassification and take account of costs of tests. The approaches adopted vary from modifying the information theoretic attribute selection measure u... Read More about A multi-armed bandit approach to cost-sensitive decision tree learning.

Preface to the workshop on cost sensitive data mining (2012)
Book Chapter
Vadera, S., Saraee, M., & Lomax, S. (2012). Preface to the workshop on cost sensitive data mining. In J. Vreeken, C. Ling, M. Zaki, A. Siebes, J. Yu, B. Goethals, …X. Wu (Eds.), The 12th IEEE International Conference on Data Mining : Workshops. IEEE. https://doi.org/10.1109/ICDMW.2012.148

Much of the early work on data mining concentrated on developing algorithms that focused on classification accuracy. A more challenging and practical problem is to devise algorithms that learn rules or associations that optimize income and take bette... Read More about Preface to the workshop on cost sensitive data mining.

Privacy preserving mining of association rules on horizontally distributed databases (2012)
Presentation / Conference
distributed databases. Presented at International Conference on Software and Computer Applications ICSCA 2012, Singapore

These protocols are based on two main approaches named as: the Randomization approach and the Cryptographic approach. The first one is based on perturbation of the valuable information while the second one uses cryptographic techniques. The randomiza... Read More about Privacy preserving mining of association rules on horizontally distributed databases.

A new method for compressing massive RFID data to achieve efficient mining (2012)
Journal Article
Hafezi, L., Saraee, M., & Montazeri, M. (2012). A new method for compressing massive RFID data to achieve efficient mining. International journal of computer theory and engineering (Print), 4(5), 694-696. https://doi.org/10.7763/IJCTE.2012.V4.559

Radio Frequency Identification (RFID) technology has been used for many purposes and has had effective results. This technology eases and accelerates many applications, but it has proposed a challenge, and that is the production of such a volume of d... Read More about A new method for compressing massive RFID data to achieve efficient mining.

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.