2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第6页

A Graph Database Approach for Temporal Modeling of Disease Progression 疾病进展时间建模的图数据库方法

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566311

Hoda Memarzadeh, Nasser Ghadiri, Sara Parikhah Zarmehr

{"title":"A Graph Database Approach for Temporal Modeling of Disease Progression","authors":"Hoda Memarzadeh, Nasser Ghadiri, Sara Parikhah Zarmehr","doi":"10.1109/ICCKE.2018.8566311","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566311","url":null,"abstract":"The high cost of managing chronic diseases for individuals and governments, as well as the negative impact on the quality of life, highlights the importance of controlling and preventing the chronic disease progression. Understanding the disease progression model is one of the first steps, which can lead to more effective planning for interventions. Most of the different approaches for statistical modeling of disease progression work with the graph. On the other hand longitudinal medical data could be represented in the form of a graph and modeling them in this way has a great deal of potential for analyzing and tracking medical event. Data structures, data model features, query facilities and special commands in graph database for traversing and detection patterns could be useful for building summarized information based on transitions between different stages of a particular disease in individual graphs. Given the fact that clinical data is collected at different times, software and formats, there is a need for a flexible framework for data linkage. Use of graph databases brings this flexibility into account and provide a highly scalable framework for data integrating and linkage. In this study, at first simple medical observations related to patients with varying degrees of Alzheimer's disease stored in a graph database (Neo4j) and then by reviewing the capabilities of this environment in building transition graph of different stages of the disease, suggestions for the model development with more details were presented.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116516348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Robust Two Stage Unsupervised Metric Learning for Domain Adaptation 领域自适应的鲁棒两阶段无监督度量学习

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566472

Samaneh Azarbarzin, F. Afsari

引用次数: 0

The Study on Quranic Surahs' Topic Sameness Using NLP Techniques 用自然语言处理技术研究《古兰经》的主题一致性

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566248

Ehsan Khadangi, M. M. Fazeli, Amin Shahmohammadi

{"title":"The Study on Quranic Surahs' Topic Sameness Using NLP Techniques","authors":"Ehsan Khadangi, M. M. Fazeli, Amin Shahmohammadi","doi":"10.1109/ICCKE.2018.8566248","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566248","url":null,"abstract":"Study of the structured-ness of Quranic surahs has attracted the attention of some researchers in recent years. One of the theories herein is the theory of Topic Sameness which acknowledges that the inner elements of surahs have tight relationship with each other and that each surah of Quran has formed on a single core topic. In this paper, we intend to study the topic sameness in Quranic surahs using natural language processing methods. In this regard, based on the two methods of word2vec and Roots' accompaniment in Verses, the similarity of Quranic roots is calculated. Then, the amount of similarity between surahs' title and the concepts within the surahs is studied. Afterwards, the amount of similarity of the concepts within chapters to each other is calculated and compared with the random mode. The results show that the choice of the surah's title is based on rational logic, and that could not have been done by the ordinary public of the early Islamic era. In addition, the surahs hold the inner coherence between the concepts so that they have formed on a single topic or a few topics tightly related to each other.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126813002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Novel Combination of Bees and Firefly Algorithm to Optimize Continuous Problems 一种新的蜜蜂和萤火虫组合算法优化连续问题

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566263

Jafar Gholami, Somayeh Mohammadi

引用次数: 2

Toward a Progressive Optimization: Application to Control Design 渐进式优化:在控制设计中的应用

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566621

Jalaeian-F. Mohsen, S. M. Ahmadi

引用次数: 0

Kernel Correlation Based CNN for Point Cloud Classification Task 基于核相关的CNN点云分类任务

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566273

Fatemeh Azizmalayeri, S.M. Moein Peyghambarzadeh, Hassan Khotanlou, Amir Salarpour

引用次数: 2

A New Semi-Supervised Method for Network Traffic Classification Based on X-Means Clustering and Label Propagation 基于x均值聚类和标签传播的网络流量分类半监督新方法

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566608

Fakhroddin Noorbehbahani, Sadeq Mansoori

引用次数: 11

Soft Meta-Cognitive Neural Network for Classification Problems 分类问题的软元认知神经网络

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566359

Maedeh Kafiyan, M. Rouhani

引用次数: 1

Test Model Generation Using Equivalence Partitioning 使用等价分区生成测试模型

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566335

Sorour Jahanbin, B. Zamani

{"title":"Test Model Generation Using Equivalence Partitioning","authors":"Sorour Jahanbin, B. Zamani","doi":"10.1109/ICCKE.2018.8566335","DOIUrl":"https://doi.org/10.1109/ICCKE.2018.8566335","url":null,"abstract":"Model transformation, in a simple definition, is a program that accepts a model as input and generates another model as output. Model transformations are the cornerstone of model-driven engineering (MDE), hence testing them and ensuring the correctness of their implementation is a critical task. A challenging aspect of testing model transformations is to generate test models that both conform to their meta-model and satisfy the defined constraints. There exist several solutions for generating test models. Epsilon Model Generation (EMG) is a language for generating appropriate test models. EMG uses random operations for producing test models, hence it is possible that some tests have the same structure and the same value, i.e., they are redundant. In this paper, we propose an approach for generating appropriate test models, i.e., test models which are valuable from the tester's point of view. In this approach, the tester specifies the number of model elements that should be generated in the test model, as well as how they are linked. Our approach is based on the idea of enriching the EMG language with equivalence partitioning technique. The idea of partitioning is that testing a member in an equivalence class is as good as testing the whole class. We have evaluated the proposed method via a case study. The results show the superiority of the proposed approach over EMG.","PeriodicalId":283700,"journal":{"name":"2018 8th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123638450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Modeling Temporal Dynamics of User Preferences in Movie Recommendation 电影推荐中用户偏好的时间动态建模

2018 8th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2018-10-01 DOI: 10.1109/ICCKE.2018.8566316

Hamidreza Tahmasbi, Mehrdad Jalali, H. Shakeri

引用次数: 6