Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications最新文献_第5页

Neural network for learning and analyzing preferences for Multi-Criteria services 用于学习和分析多准则服务偏好的神经网络

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419799

Imane Haddar, B. Raouyane, M. Bellafkih

引用次数: 0

Towards Amazon Fake Reviewers Detection: The Effect of Bulk Users 亚马逊虚假评论者检测:大量用户的影响

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419800

Youssef Esseddiq Ouatiti, Noureddine Kerzazi

{"title":"Towards Amazon Fake Reviewers Detection: The Effect of Bulk Users","authors":"Youssef Esseddiq Ouatiti, Noureddine Kerzazi","doi":"10.1145/3419604.3419800","DOIUrl":"https://doi.org/10.1145/3419604.3419800","url":null,"abstract":"Online marketplaces such as Amazon allow people to share their experiences about purchased products using textual comments known as product reviews. These reviews have become a common tool that users rely on to get insights on the quality and functionality of products and services from online consumers. However, like any other online information, reviewers raise serious questions concerning the credibility and reliability, since anyone can post reviews, which might impact the reliability of the information. This paper tackles the phenomenon of Bulk reviewers. We first analyze a large dataset of reviews from Amazon aiming to spot bulk reviewers according to their behavior. We then apply a what-if analysis to assess the effect of bulk reviews on the online marketplaces using a metric called Net Promoter Score to measure the willingness of users to recommend products. Our Results reveal that bulk users (i.e., users that review multiple times) have same distribution of ratings as non-bulk users indicating that a bulk reviewer is not automatically a fake reviewer. Yet, we discover that bulk users do inflate NPS metric and thus contribute to overestimate the level of customer satisfaction.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125289674","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

A Review of Open Source Software Maintenance Effort Estimation 开源软件维护工作量评估综述

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419809

Chaymae Miloudi, Laila Cheikhi, A. Idri

{"title":"A Review of Open Source Software Maintenance Effort Estimation","authors":"Chaymae Miloudi, Laila Cheikhi, A. Idri","doi":"10.1145/3419604.3419809","DOIUrl":"https://doi.org/10.1145/3419604.3419809","url":null,"abstract":"Open Source Software (OSS) is gaining interests of software engineering community as well as practitioners from industry with the growth of the internet. Studies in estimating maintenance effort (MEE) of such software product have been published in the literature in order to provide better estimation. The aim of this study is to provide a review of studies related to maintenance effort estimation for open source software (OSSMEE). To this end, a set of 60 primary empirical studies are selected from six electronic databases and a discussion is provided according to eight research questions (RQs) related to: publication year, publication source, datasets (OSS projects), metrics (independent variables), techniques, maintenance effort (dependent variable), validation methods, and accuracy criteria used in the empirical validation. This study has found that popular OSS projects have been used, Linear Regression, Naïve Bayes and k Nearest Neighbors were frequently used, and bug resolution was the most used regarding the estimation of maintenance effort for the future releases. A set of gaps are identified and recommendations for researchers are also provided.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122510953","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

Analysis and evaluation of communication Protocols for IoT Applications 物联网应用通信协议分析与评估

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419754

Sidna Jeddou, Amine Baïna, Abdallah Najid, H. E. Alami

{"title":"Analysis and evaluation of communication Protocols for IoT Applications","authors":"Sidna Jeddou, Amine Baïna, Abdallah Najid, H. E. Alami","doi":"10.1145/3419604.3419754","DOIUrl":"https://doi.org/10.1145/3419604.3419754","url":null,"abstract":"The communication protocols are an essential part for the data communication of Internet of Things (IoT) applications. However, the selection of a communication protocol is challenging because it depends on the nature of the IoT system and its data transmission system. Copious communications protocols have been developed and employed by researchers based on their requirements in the last decade. Though, none of them is able to support all criteria requirements, like energy efficiency, security, quality of service, etc. Of all types of IoT systems, communication protocols are an ongoing dilemma for the IoT industry; consequently, it is important to analyze the comportments and mechanisms of this latter to determine their best-fit scenarios. Therefore, this paper presents an evaluation of established communication protocols HTTP, MQTT, DDS, XMPP, AMQP and CoAP for IoT applications. Firstly, it presents the broad comparison among these communication protocols to introduce their characteristics comparatively. Subsequently, it performs a detailed and in-depth analysis of the related process of gaining an understanding of their strengths and limitations. Therefore, based on this detailed evaluation, the user can determine their appropriate use for various IoT applications depending on their needs, efficiency, and suitability.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134633153","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: 14

Detecting the Learner's Motivational State in Online Learning Situation Towards Adaptive Learning Environments 面向适应性学习环境的在线学习情境中学习者动机状态的检测

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419760

Mohammed Amraouy, Abdellah Bennane, M. Himmi, M. Bellafkih, Aziza Benomar

引用次数: 0

Automatic Prediction of Learning Style Based On Prior Knowledge Using IRT and FSLM 基于先验知识的学习风格的IRT和FSLM自动预测

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419767

Samia Rami, S. Bennani, Mohammed Khalidi

{"title":"Automatic Prediction of Learning Style Based On Prior Knowledge Using IRT and FSLM","authors":"Samia Rami, S. Bennani, Mohammed Khalidi","doi":"10.1145/3419604.3419767","DOIUrl":"https://doi.org/10.1145/3419604.3419767","url":null,"abstract":"With the rapid progress of online learning technology, e-learning environments offer an increasing number of learning resources and platforms. One standing problem of e-learning is delivering the same learning for all learners within a particular course without taking into consideration their individual learning needs. Ideally, the content must be adjusted to fit the individual learner's learning characteristics. To this end, this study proposes a framework for adaptive learning that can align course content with each learner's learning style. Given that the important rule of placement tests for assessing prior knowledge, we propose an automatic prediction learning style at the beginning of online learning session. To overcome the cold start issue, our placement test aims: (1) to principally evaluate students' pre-requisites and to (2) implicitly provide an extensive knowledge about their predominant learning style at the beginning of training. To do that, we used two methods: a placement test based on item response theory (IRT) and a rule-based method. To classify learners according to their learning style, we adopted The Felder-Silverman learning style model (FSLM) as the basis of classification for our proposed system.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122137048","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

Bank Failure Prediction: A Deep Learning Approach 银行倒闭预测:一种深度学习方法

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419792

Youness Abakarim, M. Lahby, Abdelbaki Attioui

{"title":"Bank Failure Prediction: A Deep Learning Approach","authors":"Youness Abakarim, M. Lahby, Abdelbaki Attioui","doi":"10.1145/3419604.3419792","DOIUrl":"https://doi.org/10.1145/3419604.3419792","url":null,"abstract":"As with any business, the bankruptcy of a bank manifests itself in the cessation of payments. At this point, the bank must be closed and put into liquidation. Such a situation would cause considerable prejudice to the customers and to to the economy as a whole. Hence, over the years there has been many works in the literature in regards to bankruptcy prediction. However research exploring deep learning for this problem are scares. This paper presents an empirical study of banks failures prediction, by proposing the use of deep learning in comparison with traditional methods. Using a sample of 1100 of FDIC-insured US commercial banks, over a 14-year period from 2004 to 2018, we extracted and constructed 40 performance ratios known to have an influence on banks performance and forecasting bankruptcy. We then investigated the efficiency of prediction techniques already used in the literature and the performance of a Deep Autoencoder in relation to these methods. Experimental results prove that our proposed model, based on a deep neural network, outperforms the typical statistical and machine learning methods, in terms of the Matthews Correlation Coefficient and F1Score.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126635044","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

Security Challenges of Wireless Body Area Networks: Threats and Solution 无线体域网络的安全挑战:威胁与解决方案

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419774

Khalil Boukri, N. Naja, E. Belmekki

引用次数: 0

RCAR Framework: Building a Regularized Class Association Rules Model in a Categorical Data Space RCAR框架:在分类数据空间中构建正则化类关联规则模型

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419762

Mohamed Azmi, A. Berrado

引用次数: 1

Towards a Data Quality Assessment in Big Data 面向大数据的数据质量评估

Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications Pub Date : 2020-09-23 DOI: 10.1145/3419604.3419803

Oumaima Reda, Imad Sassi, A. Zellou, S. Anter

{"title":"Towards a Data Quality Assessment in Big Data","authors":"Oumaima Reda, Imad Sassi, A. Zellou, S. Anter","doi":"10.1145/3419604.3419803","DOIUrl":"https://doi.org/10.1145/3419604.3419803","url":null,"abstract":"In recent years, as more and more data sources have become available and the volumes of data potentially accessible have increased, the assessment of data quality has taken a central role whether at the academic, professional or any other sector. Given that users are often concerned with the need to filter a large amount of data to better satisfy their requirements and needs, and that data analysis can be based on inaccurate, incomplete, ambiguous, duplicated and of poor quality, it makes everyone wonder what the results of these analyses will really be like. However, there is a very complex process involved in the identification of new, valid, potentially useful and meaningful data from a large data collection and various information systems, and is critically dependent on a number of measures to be developed to ensure data quality. To this end, the main objective of this paper is to introduce a general study on data quality related with big data, by providing what other researchers came up with on that subject. The paper will be finalized by a comparative study between the different existing data quality models.","PeriodicalId":250715,"journal":{"name":"Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127623826","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: 8