2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)最新文献_第7页

Cloud computing for an adaptive Web interface 用于自适应Web界面的云计算

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426933

Rebai Rim, A. Abid, Maalej Mohamed Amin, A. Mahfoudhi

引用次数: 1

Incremental dynamic case-based reasoning-MAS: From static to dynamic cycle 增量动态基于案例的推理——mas:从静态循环到动态循环

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426882

Abdelhamid Zouhair, E. En-Naimi

{"title":"Incremental dynamic case-based reasoning-MAS: From static to dynamic cycle","authors":"Abdelhamid Zouhair, E. En-Naimi","doi":"10.1109/ICTA.2015.7426882","DOIUrl":"https://doi.org/10.1109/ICTA.2015.7426882","url":null,"abstract":"In this paper we present our approach in the field of Case-Based Reasoning (CBR). This approach is based on the reuse of previous traces that are similar to the current situation in a dynamic way. Several approaches have been used in this area, but they suffer from some limitations in automated real-time management dynamic parameters (the designer should be defined beforehand the different situations possible). We propose a multi-agent multi-layer architecture based on Incremental Dynamic Case-Based Reasoning (IDCBR) able to study dynamic situations (recognition, prediction, and learning situations). We propose a generic approach able to learn automatically from their experiences in order to acquire the knowledge automatically. Based on the Case-Based Reasoning and multi-agent paradigm, we propose a modification of the static CBR cycle in order to introduce a dynamic process of Case-Based Reasoning based on a dynamic similarity measure able to evaluate in real time the similarity between a dynamic situation (target case) and past experiences stored in the memory (sources case) in order to predict the target case in the future.","PeriodicalId":375443,"journal":{"name":"2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396327","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

Optimal composition of e-leaming personalization parameters 网络学习个性化参数的最优构成

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426921

Sameh Ghallabi, Fathi Essalmi, M. Jemni, Kinshuk

引用次数: 3

Dynamic mesh router placement for connectivity maximization in wireless mesh networks 在无线网状网络中实现连接最大化的动态网状路由器布局

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426930

Monia Hamdi, S. Mhiri

引用次数: 5

Rules-based grammatical and semantic disambiguation of the token "hattā" in Arabic 基于规则的阿拉伯语符号“hattha”的语法和语义消歧

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426889

Dhaou Ghoul, A. Ibrahim, C. Audebert

引用次数: 0

Drug discovery for breast cancer based on big data analytics techniques 基于大数据分析技术的乳腺癌药物发现

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426894

Rostom Mennour, M. Batouche

{"title":"Drug discovery for breast cancer based on big data analytics techniques","authors":"Rostom Mennour, M. Batouche","doi":"10.1109/ICTA.2015.7426894","DOIUrl":"https://doi.org/10.1109/ICTA.2015.7426894","url":null,"abstract":"Scientific research are nowadays faced to very massive data processing, which consume relatively too much time and effort, that's why researchers have turned to high performance computational (HPC) techniques. In the same context, research on drug discovery has reached a place where it has no choice but using HPC and Big Data Processing Systems to accomplish its objectives in reasonable periods of time, Virtual Screening (VS) is considered as one of the most computationally intensive and heavy process, it plays an important role in designing new drugs and has to be done as fast as possible in order to effectively dock ligands in huge databases to a given protein receptor. On the other hand, breast cancer is one of the most dangerous diseases of world, in the last decade; more than 1.5 million new cases are diagnosed each year, with more than 400 thousands deaths. These statistics give very great importance to drug research for this disease. In this context, and in order to ameliorate the drug designing process for breast cancer, we propose in this work, to use Machine Learning Algorithms that are designed for Big Data analysis on top of MapReduce and Mahout in order to pre-filter the huge set of ligands to effectively do virtual screening for the breast cancer protein receptor.","PeriodicalId":375443,"journal":{"name":"2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881253","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: 10

Stemming impact on Arabic text categorization performance: A survey 词干提取对阿拉伯语文本分类性能的影响:一项调查

2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA) Pub Date : 2015-12-01 DOI: 10.1109/ICTA.2015.7426875

Fawaz S. Al-Anzi, Dia AbuZeina

引用次数: 26