Fatemeh Gholizadeh kharrat

Idiomas

Áreas de atuação

Produções bibliográficas

• KHARRAT, F. G. ; F. J, M. ; .R. Amini. Niaki3 . Mining E- Commerce for Customer Behaviour Analysis through Clustering. IJARCSSE , v. 6, p. 95-98, 2016.

Projetos de pesquisa

• 2012 - 2013

  Medical Image Processing with Tools Package in MATLAB, Descrição: This project is about a survey of image processing algorithms that have been developed for detection of masses and segmentation techniques. 35 students from university campus participated in the Development of Biomedical Image Processing Software Package for New Learners Survey to investigate the use of software package in processing and editing image. Composed of 19 questions, the survey built a comprehensive picture of the software package, programming language, workflow of the tool and captured the attitudes of the respondents. The result of this study shows that MATLAB is among the famous software package; more than 60% of the respondents prefer to use MATLAB for their image processing work. The Microsoft Photo Editor is the second popular software for images editing process. More than 30% of respondents are very likely to use a ready-to-use package for processing image rather than given source code. The result is expected to be beneficial and able to assist users on effective image processing and analysis in a newly develop software package. A preliminary image processing tool prototype was developed as shown in this project. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2011 - 2012

  Mining E-Commerce for Customer Behaviour Analysis Through Clustering, Descrição: In the Web mining scenario, the records to match are highly query-dependent, since they can only be obtained through online queries. Moreover, they are only a partial and biased portion of all the data in the source Web mining?s. To overcome this problem, we presented an unsupervised, online approach, UDD, for detecting duplicates over the query results of multiple Web mining?s. Two classifiers, WCSS and SVM, are used cooperatively in the convergence step of record matching to identify the duplicate pairs from all potential duplicate pairs iteratively with Weighted Component Similarity Summing Classifier, Component weight assignment and Duplicate Identification to achieve the efficient of the proposed system.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2011 - 2012

  Image Processing Methods and Algorithms and Algorithms for OCR and Face Recognition, Descrição: In this project , the theoretical principles, technical and practical aspects of image processing with precise evaluation issues and techniques Comprehensively evaluated and the accept (OCR) algorithms for human face recognition and optical character recognition Sector and its processing blocks are introduced. Generally, cases are considered: 1. Image processing and general applications. ? pattern recognition. ? text processing and basic concepts. 2. . OCR ? characteristics and complexities of Farsi script for a software 3. . OCR ? internal investigation carried out in the field ? The human face processing techniques ? Algvrythay image processing 4. (mode) of the minimum of the histogram o 5. (p-tile) method of histogram sequence o 6. Maximum variance method o ? autocorrelation properties. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2010 - 2011

  The Design and Performance of MedJava Experience Developing Performance-Sensitive Distribute Applications, Descrição: The Java programming language has gained substantial popularity in the past two years. Java?s networking features, along with the growing number of Web browsers that execute Java applets, facilitate Internet programming. Despite the popularity of Java, however, there are many concerns about its efficiency. In particular, networking and computation performance are key concerns when considering the use of Java to develop performance sensitive distributed applications. This research makes three contributions to the study of Java for performancesensitive distributed applications. First, we describe an architecture using Java and the Web to develop MedJava, which is a distributed electronic medical imaging system with stringent networking and computation requirements. Second, we present benchmarks ofMedJava image processing and compare the results to the performance of xv, which is an equivalent image processing application written in C. Finally, we present performance benchmarks using Java as a transport interface to exchange large medical images over high-speed ATM networks. For computationally-intensive algorithms like image filtering, Java code that is optimized both manually and with JIT compilers can sometimes compensate for the lack of compile time optimizations and yield performance commensurate with equivalent compiled C code. With rigorous compile-time optimizations, however, C compilers still generally generate more efficient code. The advent of highly optimizing Java compilers should make it feasible to use Java for performance-sensitive distributed applications where C and C++ are used currently.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2009 - 2010

  Easy Java Programming for Teaching Image-Processing, Descrição: We have designed a series of computer sessions build around ImageJ (a publicdomain software for image analysis), as a practical complement to a twosemester course in image processing. The students are challenged with simple practical imaging problems as they acquire hands-on practice by experimenting with image-processing operators. In the process, they also learn how to program standard image-processing algorithms in Java. This is made possible thanks to a programmer-friendly environment and a software interface that greatly facilitates the developments of plug-in for ImageJ. Since our students have generally not acquired programming skills yet (they typically do not even know Java), we use a learning-by-example teaching strategy, with good success.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2009 - 2010

  Using Recommender System with Data Mining Techniques in Higher Education, Descrição: One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information( for example courses, schedules , sections , classrooms and professor ). In this project , this work proposes the use of recommendation system based on data mining techniques to help students to take decisions on their academic itineraries . more specifically , it provides support for the student to better choose how many and which course to enrol on, having as basis the experience of previous student with similar academic achievements. For this purpose, we have analyzed real data corresponding to seven year of student enrollment at the school of system Engineering university of JNTU . based on this analysis, recommendation system was developed.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2006 - 2007

  Forecast Time Series and Feature Selection Using Fuzzy Approach, Descrição: Abstract Applying the concepts of the real world, due to the uncertainty prevailing in them can be difficult .The time series In General, for non-linear or nonconstant are known. With regard to these two features, a system will have to Applying the quince of time series, is sensitive enough and this track in sensitive repeat predictions . .A system can predict precisely the characteristics of hidden series rigorous review and It also has the very high forecast performances. Many of the statistical tools such as regression analysis, average Animated, exponential moving average and the moving average regression in traditional forecasts can be used. One Of the biggest challenges of these methods, the need for larger views and failing to deal with linguistic variables or comments The subject experts. These methods are also being restricted to only have a linear assumption. In order to overcome the limitations of traditional approaches, a lot of researchers of soft computing techniques such as Fuzzy logic, neural networks, fuzzy neural networks, evolutionary algorithms and so on were used. Fuzzy sets and having usage fuzzy logic modeling various real life difficult , on the strength of Dealing in vague knowledge about the decision variable) language (lies. awareness of the values related to the future Predictions (based on) the data time series available, one of the main components in the planning and decision-making. Fuzzy set theory, and fuzzy logic introduced framework to meet the lack Make available in terms of information and ambiguity in the language has been offered. Prediction system based on fuzzy logic was considered superior because of the language used and the variables The uncertainty prevailing in the series because of the use of rules-based "if then" that reflect the way of thinking- Is human, be removed. This is the advantage of fuzzy time series there was no limit to the number of observations, Or for linear hypothesis is. The motivation for the present work, the development OF methods of forecasting based on fuzzy logic and fuzzy modelling series Time to avoid complex calculations, suitable non-fuzzy, achieve results with less error and use The language variables.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2005 - 2006

  Spam and Filtering with Using Bayesian Algorithm, Descrição: In this research , I present the results of applying the Na¨ıve Bayes algorithm to the problem of filtering unwanted junk or ?spam? e-mail. I explore the effect of several parameters including corpus size and feature extraction methods. I compare my results to several published statistical spam-filtering approaches.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2004 - 2005

  Suggestion and Evaluation of a Proximity Measure Blogs Persian-Based Content, Descrição: Because blogs are a statistical model and analytical platform is suitable for the analysis of a social network or graph Reviews for blog content are also mainly in branches of the humanities and Single to single sampling and analysis (such as the human host was [86, ziaei fish] in Persian and blog English blog). [Hurring 05] Blog of the newest phenomenon of increasing communication and content production are in the Internet world. The somewhat Some of the major experts in Web 2.0 content derived by normal users and through blogs you know. Most of the analysis conducted on blogs, in a branch of engineering, based on the links and is skate. Blogs are an index, will be measured. Finally with the challenges ahead, In this project, with automatic content review blogs, only the words of the independent Treasury hanuman, (b) the criteria for Express the similarity and proximity of two blog will be provided. Then as an evaluation of the success criteria, using benchmark includes an 9٠٠٠ blog that has been produced in the same project, the Acton classification criteria The major problem of blog content to English language structure differences and writing will be opened. The problems caused by the difference in taste with the document and folk speech being market clay on the one and and structural problems in English (such as the sugar ) on the other hand has caused automatic content analysis of blogs in English The language, the subject has been discussed less. We will offer suggestions for future work.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

Projetos de desenvolvimento

• 2013 - 2014

  Recommender System Software with Collaborative Techniques with Java Programming Language, Descrição: conducted that following research plan with Recommender System Software with Collaborative Techniques with Java Programming Language cooperated by this agency from 2013 to 2014. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2012 - 2013

  Java Database for ATM Program, Descrição: SADAD Informatics Crop. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2013 - 2014

  Recommender System Software with Collaborative Techniques with Java Programming Language, Descrição: conducted that following research plan with Recommender System Software with Collaborative Techniques with Java Programming Language cooperated by this agency from 2013 to 2014. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2012 - 2013

  Java Database for ATM Program, Descrição: SADAD Informatics Crop. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2013 - 2014

  Recommender System Software with Collaborative Techniques with Java Programming Language, Descrição: conducted that following research plan with Recommender System Software with Collaborative Techniques with Java Programming Language cooperated by this agency from 2013 to 2014. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2012 - 2013

  Java Database for ATM Program, Descrição: SADAD Informatics Crop. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2013 - 2014

  Recommender System Software with Collaborative Techniques with Java Programming Language, Descrição: conducted that following research plan with ? Recommender System Software with Collaborative Techniques with Java Programming Language ? cooperated by this agency from 2013 to 2014. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2012 - 2013

  Java Database for ATM Program, Descrição: SADAD Informatics Crop. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2013 - 2014

  Recommender System Software with Collaborative Techniques with Java Programming Language, Descrição: conducted that following research plan with ? Recommender System Software with Collaborative Techniques with Java Programming Language ? cooperated by this agency from 2013 to 2014. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.

• 2012 - 2013

  Java Database for ATM Program, Descrição: SADAD Informatics Crop. , Situação: Concluído; Natureza: Desenvolvimento. , Integrantes: Fatemeh Gholizadeh Kharrat - Coordenador.