2018 12th International Conference on Research Challenges in Information Science (RCIS)最新文献_第3页

DFBICA: A new distributed approach for sentiment analysis of bibliographic citations DFBICA:一种新的分布式书目引文情感分析方法

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406672

Mariem El Abdi, Boutheina Smine, S. Yahia

引用次数: 3

A multi-criteria decision making approach for recommending a product using sentiment analysis 使用情感分析推荐产品的多标准决策方法

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406679

Manish Kumar

{"title":"A multi-criteria decision making approach for recommending a product using sentiment analysis","authors":"Manish Kumar","doi":"10.1109/RCIS.2018.8406679","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406679","url":null,"abstract":"Nowadays, online platform has become a modern means of shopping among people. The reviews of products by customers have been proliferating on the online platform for a while. Since a large number of reviews are available, invariably customers read reviews before buying the product. Majority of the reviews are lengthy and repetitive, some of them even have nothing to do with the product itself. Going through the reviews before making a decision has become a tedious task. Further, the product selection is a complex decision making problem where several criteria are involved in the decision making process. Researchers have used methods like machine learning and sentiment classification to analyze the review of customers to summarize them. However, review summarization does not suggest the best/worst product. This study aims to recommend the best product based on the opinions expressed in the customers' reviews. We analyze the reviews of customers from various online platforms and use effective multi criteria decision making approach to evaluate and recommend the best suitable product. Real-time dataset from Flipkart and Amazon are used to evaluate our system's performance. Different case studies have shown that our proposed method produces a promising result which can help the user in the decision making process.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061649","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: 11

Data valuation considering knowledge transformation, process models and data models 考虑知识转换、过程模型和数据模型的数据评估

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406649

S. Sathananthan

引用次数: 4

Using user emotions to trigger UI adaptation 使用用户情感来触发UI调整

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406661

J. Galindo, Sophie Dupuy-Chessa, N. Mandran, Éric Céret

引用次数: 7

Lip movements recognition towards an automatic lip reading system for Myanmar consonants 面向缅甸语辅音自动读唇系统的唇动识别

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406660

Thein Thein, Kalyar Myo San

引用次数: 4

ETL-aware materialized view selection in semantic data stream warehouses 语义数据流仓库中支持etl的物化视图选择

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406668

Nabila Berkani, Ladjel Bellatreche, C. Ordonez

{"title":"ETL-aware materialized view selection in semantic data stream warehouses","authors":"Nabila Berkani, Ladjel Bellatreche, C. Ordonez","doi":"10.1109/RCIS.2018.8406668","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406668","url":null,"abstract":"For 25 years, several companies spent a lot of efforts and money in building warehouse (DW) applications for data analytics purposes. This technology contributes to the success stories of several companies. Nowadays, companies are looking for real-time analytics for data issued from fresh data sources and external resources as knowledge bases and linked open data. The traditional life-cycle of designing DW applications has to be revisited to meet this requirement. Note that this life-cycle is composed of several well-connected phases. Integrating this requirement will seriously impact all phases in charge of data which are: ETL (Extract, Transform, Load) and the physical design phase, in which physical optimization structures are selected to speed up OLAP queries. In this paper, we propose a Near Real Time Data Warehouse design (NRTDW) dealing with semantic data sources, with a particular focus on ETL and physical design phases. Firstly, we propose a dynamic materialized view selection method based on a workload of Sparql queries. Secondly, optimized algorithms are proposed to orchestrate the ETL flows considering the selected materialized views. Thirdly, an incremental view maintenance strategy recomputing only the graphs that involve the updated data sources is proposed. Finally, our findings are validated through an intensive experimentation using a detailed cost model on a real DBMS.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133902488","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

How are combined expertise elements in early-warning systems? Observations and propositions from the French system 如何在预警系统中结合专业知识要素?来自法国体系的观察和主张

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406666

M. Arru, E. Negre, C. Rosenthal-Sabroux

引用次数: 1

Towards a catalog of conflicts for HCI quality characteristics in UbiComp and IoT applications: Process and first results UbiComp和物联网应用中HCI质量特征冲突目录:过程和初步结果

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406651

R. M. Carvalho, Rossana Andrade, K. Oliveira

引用次数: 13

Modeling in support of multi-perspective valuation of smart grid initiatives 支持智能电网项目多角度评估的建模

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406650

Monika Kaczmarek-Heß, Qin Ma, I. Razo-Zapata

引用次数: 6

A novel approach for terrorist sub-communities detection based on constrained evidential clustering 一种基于约束证据聚类的恐怖分子子群体检测新方法

2018 12th International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2018-05-29 DOI: 10.1109/RCIS.2018.8406663

Firas Saidi, Z. Trabelsi, H. Ghézala

{"title":"A novel approach for terrorist sub-communities detection based on constrained evidential clustering","authors":"Firas Saidi, Z. Trabelsi, H. Ghézala","doi":"10.1109/RCIS.2018.8406663","DOIUrl":"https://doi.org/10.1109/RCIS.2018.8406663","url":null,"abstract":"The emergence of web 2.0 virtual spaces, namely social networks and social media, enables terrorist organizations to flourish and advance their cyber malicious activities by posting criminal contents, exchanging information and polarizing new members. Thus, there is an immense need for the development of effective approaches to understand cyber terrorist organizations structures, working strategies, and operation tactics. A terrorist community is a set of subgroups, which share many properties but differ on others, such as degree of activity and roles. The identification of these sub-communities is a key task not only to understand the topology of these organizations but also to discover their operation methods. In this paper, we propose a cyber community detection approach based on Constrained Evidential C-Means (CECM) algorithm which is an adequate evidential clustering method that can be applied to detect cyber terrorist subgroups. Based on Must-link and Cannot-link constraints, objects (network members) can be classified into various sub-classes Cn, such as military, finance and local leaders committees. The membership of nodes to clusters (sub-communities) is described by Belief functions. Clustering results show the efficiency of our evidential constrained approach not only in classifying cyber terrorist actors into the aforementioned communities, but also in allocating a degree of membership for each member to each class.","PeriodicalId":408651,"journal":{"name":"2018 12th International Conference on Research Challenges in Information Science (RCIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114543065","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