2018 Thirteenth International Conference on Digital Information Management (ICDIM)最新文献

PediatricDB: Data Analytics Platform for Pediatric Healthcare 儿科医疗数据分析平台

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847072

Shantanu Deshmukh, Natalia Khuri

引用次数: 2

Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips 挖掘轨迹数据和识别出租车运动行程模式

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847135

Rami Ibrahim, M. O. Shafiq

引用次数: 4

Towards scalable standards for web content usability 面向web内容可用性的可扩展标准

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8846968

P. Pichappan, P. Vijayakumar

引用次数: 0

Deep Learning in Classifying Sleep Stages 睡眠阶段分类中的深度学习

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8846973

Mohamed H. Al-Meer, M. Mamun

引用次数: 1

Visualization of Eye-Tracking Patterns in Autism Spectrum Disorder: Method and Dataset 自闭症谱系障碍眼动追踪模式的可视化:方法和数据集

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8846967

Romuald Carette, Mahmoud Elbattah, Gilles Dequen, Jean-Luc Guérin, Federica Cilia

引用次数: 18

Unsupervised Topic Detection based on 2D Vector Space model using Apriori Algorithm and NLP 基于Apriori算法和NLP的二维向量空间模型无监督主题检测

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8846982

Michael George

引用次数: 1

Improved TFIDF weighting techniques in document Retrieval 改进了文档检索中的TFIDF加权技术

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847156

Fadi Yamout, Rachad Lakkis

{"title":"Improved TFIDF weighting techniques in document Retrieval","authors":"Fadi Yamout, Rachad Lakkis","doi":"10.1109/ICDIM.2018.8847156","DOIUrl":"https://doi.org/10.1109/ICDIM.2018.8847156","url":null,"abstract":"In information retrieval, documents are usually retrieved using lexical matching which matches where words in a user's query with words found in a set of documents. A significant model used in information retrieval is the vector space model where these words are represented as a vector in space and are assigned weights using a favorite weighting technique called TFIDF (Term Frequency Inverse Document Frequency). In this thesis, we have devised three new weighting techniques to improve the TFIDF weighting technique. The first technique is Dispersed Words Weight Augmentation (DWWA) which gives more weight to the words distributed in most of the document’s paragraphs; we consider that those words are more significant than words found in few paragraphs. The second technique is called Title Weight Augmentation (TWA) which gives more weight to the words found in the document’s title and first paragraphs. The third technique is called First Ranked Words Weight Augmentation (FRWWA) which increments further the weight of the most frequent words in a document. We tested the three techniques, and we found more relevant documents were retrieved in our system.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005594","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

Sensitivity of Estimators for Measuring Information Amount in Web-Based Medical Documents 基于网络的医学文献信息量估计器的灵敏度

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847005

Jolanta Mizera-Pietraszko

{"title":"Sensitivity of Estimators for Measuring Information Amount in Web-Based Medical Documents","authors":"Jolanta Mizera-Pietraszko","doi":"10.1109/ICDIM.2018.8847005","DOIUrl":"https://doi.org/10.1109/ICDIM.2018.8847005","url":null,"abstract":"Nowadays, communication between patient and doctor during an appointment has changed significantly owning to the opportunity that medical portals provide. Whether or not necessarily appreciated by the doctors, the patients became more aware of the first symptoms’ suggesting a particular disease and the medical procedures that apply as a standard. Estimating amount of reliable factual medical information in a document is carried out by parametrizing space of digital documents and dividing it into subsequent layers that represent distribution of the system responses computed as random variables to a query about medical information. Analyzed are the following attributes: dynamism of decrease of query words numbers in the documents, precision, recall in the metric space layers, their mutual correlation and specifically the amount of reliable medical information in the documents. Sensitivity of estimators is explored in order to determine the final decision about further browsing digital documents of the metric space for more medical information that satisfies the user’s need. For identification of the true positive information in the space layer and then, in each document of this layer, matching of medical terminology with the document contents, is processed following binary Boolean search space model.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125930806","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: 0

The importance of interaction mechanisms in blended learning courses involving problem solving e-tivities 在涉及解决问题的电子活动的混合学习课程中，互动机制的重要性

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847104

A. Venditti, F. Fasano, M. Risi, G. Tortora

{"title":"The importance of interaction mechanisms in blended learning courses involving problem solving e-tivities","authors":"A. Venditti, F. Fasano, M. Risi, G. Tortora","doi":"10.1109/ICDIM.2018.8847104","DOIUrl":"https://doi.org/10.1109/ICDIM.2018.8847104","url":null,"abstract":"Blended learning is widely adopted by education agencies and organizations, as it is a flexible model in which face-to-face classroom practices are combined with computer-mediated activities. To overcome the limits of the loss of interaction between teacher and students and among students in distance learning, researchers proposed several solutions, conducting experiments in several teaching areas. Our interest is aimed at studying blended learning with a specific focus on those courses involving problem solving activities, through collaboration among students.Modern Learning Management Systems (LMS) allow to define virtual classrooms and offer various functionalities to support the class. At the same time, they are not designed to fully support all type of activities. Thus, they provide the possibility of integrating other more useful systems for more specific activities. A standard LMS has to be integrated using specific tools when problem solving activities are planned, to ensure effective collaboration among students. In this regard, there is no convergence towards a specific tool that can be used to carry out problem solving activities in collaboration.This paper aims to propose a minimal set of requirements for interaction mechanisms to support problem solving activities in a collaborative environment, in order to obtain better quality artifacts. We also report the results of a three-month experimental course (12 weeks) entitled ”Project Management: a look ahead”, based on blended learning and problem solving activities. The minimal set of requirements for interaction mechanisms was implemented using GitHub, that is not a teaching software, but it is a global software development tool which has powerful communication mechanisms. The results show that the aid of the proposed minimal set of requirements for interaction mechanisms significantly improves the quality of artifacts when problem solving activities are carried out.","PeriodicalId":120884,"journal":{"name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131655982","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: 5

Forecasting Financial Risk using Quantum Neural Networks 利用量子神经网络预测金融风险

2018 Thirteenth International Conference on Digital Information Management (ICDIM) Pub Date : 2018-09-01 DOI: 10.1109/ICDIM.2018.8847063

A. E. Bouchti, Younes Tribis, Tarik Nahhal, C. Okar

引用次数: 6