Web Intell.Pub Date : 2018-06-11DOI: 10.3233/WEB-180378
Yande Li, Ning Yang, Lian Li, Li Liu, Yi Yang
{"title":"Finger gesture recognition using a smartwatch with integrated motion sensors","authors":"Yande Li, Ning Yang, Lian Li, Li Liu, Yi Yang","doi":"10.3233/WEB-180378","DOIUrl":"https://doi.org/10.3233/WEB-180378","url":null,"abstract":"","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689228","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}
Web Intell.Pub Date : 2018-06-11DOI: 10.3233/WEB-180379
Xi Wu, Chen Tang, Xu Chen, Shengqiang Xu, Nan Cheng, Ning An
{"title":"uGait: A platform for automated quantitative gait analysis and its application to Parkinson's disease","authors":"Xi Wu, Chen Tang, Xu Chen, Shengqiang Xu, Nan Cheng, Ning An","doi":"10.3233/WEB-180379","DOIUrl":"https://doi.org/10.3233/WEB-180379","url":null,"abstract":"","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116611404","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}
Web Intell.Pub Date : 2018-06-11DOI: 10.3233/WEB-180375
Rong Xie, Hongyi Zhang, Chao Gong
{"title":"Hot time periods discovery for facility proportioning in urban commercial districts using POIs and mobile phone data","authors":"Rong Xie, Hongyi Zhang, Chao Gong","doi":"10.3233/WEB-180375","DOIUrl":"https://doi.org/10.3233/WEB-180375","url":null,"abstract":"","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124578794","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}
Web Intell.Pub Date : 2018-06-11DOI: 10.3233/WEB-180377
Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He
{"title":"Content tracking by leveraging hashtag and time information in Twitter social media","authors":"Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He","doi":"10.3233/WEB-180377","DOIUrl":"https://doi.org/10.3233/WEB-180377","url":null,"abstract":"","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127130826","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}
Web Intell.Pub Date : 2018-06-11DOI: 10.3233/WEB-180380
Z. Zhang, Li Liu, Li Li, Xiangliang Zhang
{"title":"Special issue: Mobile Web Data Analytics (part I)","authors":"Z. Zhang, Li Liu, Li Li, Xiangliang Zhang","doi":"10.3233/WEB-180380","DOIUrl":"https://doi.org/10.3233/WEB-180380","url":null,"abstract":"It is essential to constantly collect data with various mobile applications from diverse sources, such as smartphones and ubiquitous sensors. However, how do you conduct the analysis on such a mass of mobile data or mobile web data aiming to solve issues in different areas of applications, including human behavior recognition, medication, recommendation and transportation? Nowadays, research in mobile and social computing environments is turning to novel concepts to address the challenge of data processing and analyzing. This special issue Mobile web data analytics addresses issues of data management in mobile and social computing environments with a special focus on data processing and applications. The goal of this special issue is to build a forum for researchers from academia and industry to investigate challenging and innovative research issues on the subject, which combines data analytics within mobile and social environment and to explore creative concepts, theories, innovative technologies and intelligent solutions. We intend this special issue to act as an initial place where people from different areas can find a forum to discuss issues of data management and processing in new and emerging mobile computing environments. We accepted 11 papers that provide deep research results to report the advance of mobile web data analytics and applications. These papers are grouped into","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131925468","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}
Web Intell.Pub Date : 2017-11-20DOI: 10.3233/WEB-170365
Ayesh Alshukri, Frans Coenen
{"title":"Mining the information architecture of the WWW using automated website boundary detection","authors":"Ayesh Alshukri, Frans Coenen","doi":"10.3233/WEB-170365","DOIUrl":"https://doi.org/10.3233/WEB-170365","url":null,"abstract":"The world wide web has two main forms of architecture, the first is that which is explicitly encoded into web pages, and the second is that which is implied by the web content, particularly pertaining to look and feel. The latter is exemplified by the concept of a website, a concept that is only loosely defined, although users intuitively understand it. The Website Boundary Detection (WBD) problem is concerned with the task of identifying the complete collection of web pages/resources that are contained within a single website. Whatever the case, the concept of a website is used with respect to a number of application domains including; website archiving, spam detection, and www analysis. In the context of such applications it is beneficial if a website can be automatically identified. This is usually done by identifying a website of interest in terms of its boundary, the so called WBD problem. In this paper seven WBD techniques are proposed and compared, four statistical techniques where the web data to be used is obtained apriori, and three dynamic techniques where the data to be used is obtained as the process progresses. All seven techniques are presented in detail and evaluated.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127149626","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}
Web Intell.Pub Date : 2017-11-20DOI: 10.3233/WEB-170369
Mohammed El Habib Souidi, Songhao Piao, Guo Li
{"title":"Mobile agents path planning based on an extension of Bug-Algorithms and applied to the pursuit-evasion game","authors":"Mohammed El Habib Souidi, Songhao Piao, Guo Li","doi":"10.3233/WEB-170369","DOIUrl":"https://doi.org/10.3233/WEB-170369","url":null,"abstract":"Pursuit-evasion game is a known problem in Multi-agent systems. This problem is approached through the elaboration of different task coordination and path planning mechanisms. This paper proposes a new sensor-based obstacle avoidance method extended from Bug-Algorithms with the aim of providing an efficient path planning to the pursuers during the targets’ capture. Noting that, the environment is decomposed on a grid of cells, in which Markov Decision Process (MDP) principles are implemented to lead the motion of the agents. In relation to Bug-Algorithms, this method increases the utilization of the sensors data to improve the decision making regarding the obstacle’s leaving point. This fact makes this method goal-oriented and decreases the pursuers’ path to the goal. Moreover, we showcase the performance of this method through a comparative study with our previous works in which Bug-2 algorithm was used to avoid the obstacles encountered.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580167","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}
Web Intell.Pub Date : 2017-08-11DOI: 10.3233/WEB-170359
P. Maret, R. Akerkar, L. Vercouter
{"title":"Virtual communities, a typology","authors":"P. Maret, R. Akerkar, L. Vercouter","doi":"10.3233/WEB-170359","DOIUrl":"https://doi.org/10.3233/WEB-170359","url":null,"abstract":"Virtual communities are complex systems interweaving technical and human aspects. We propose here to identify usual functions provided by virtual communities and define a typology based on the common objects or goals shared by their users. The papers included in this special issue show some examples of research works lead in some of these categories of communities.","PeriodicalId":245783,"journal":{"name":"Web Intell.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121676921","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}