{"title":"Big Data in Healthcare and Social Sciences: Bip4Cast as a CAD system","authors":"Victoria López, Diego Urgelés, Óscar Sánchez, Gabriel Valverde","doi":"10.4018/IJISSC.2017070101","DOIUrl":"https://doi.org/10.4018/IJISSC.2017070101","url":null,"abstract":"HealthcareprovidersandpayersareincreasinglyturningtoBigDataandanalytics,tohelpthem understandtheirpatientsandthecontextoftheirillnessesinmoredetail.Industryleadersareexploring/ usingBigDatatoreducecosts,increaseefficiencyandimprovepatientcare.Thenextfutureisan innovativeapproachtoimprovingpatientaccessusingleanmethodsandpredictiveanalytics.Social sciencesareverymuchrelatedtohealthcareandbothareasdevelopinaparallelway.Inthisarticle, weintroduceoneexampleofapplication:Bip4cast(abipolardisorderCADsystem).Thispapershows howBip4castdealswithdifferentdatasourcestoenrichtheknowledgeandimprovepredictiveanalysis. KeywoRDS Actigraph, Analytics, Big Data, Bipolar Disorder, CAD, Data Integration, Expert System, Healthcare, Monitoring","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340466","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}
Pub Date : 2017-07-01DOI: 10.4018/IJISSC.2017070102
K. Tabet, R. Mokadem, Mohamed Ridda Laouar, Sean B. Eom
This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: i static vs. dynamic, ii reactive vs. proactive workload balancing, iii provider vs. customer centric, iv optimal number vs. dynamic adjustment of the replica factor and v objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: i the reduction of access time, ii the reduction of the bandwidth consumption, iii the storage resource availability, iv a balanced workload between replicas and v a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.
{"title":"Data Replication in Cloud Systems: A Survey","authors":"K. Tabet, R. Mokadem, Mohamed Ridda Laouar, Sean B. Eom","doi":"10.4018/IJISSC.2017070102","DOIUrl":"https://doi.org/10.4018/IJISSC.2017070102","url":null,"abstract":"This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: i static vs. dynamic, ii reactive vs. proactive workload balancing, iii provider vs. customer centric, iv optimal number vs. dynamic adjustment of the replica factor and v objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: i the reduction of access time, ii the reduction of the bandwidth consumption, iii the storage resource availability, iv a balanced workload between replicas and v a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128360615","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}
Pub Date : 2017-04-01DOI: 10.4018/IJISSC.2017040101
M. Mäkimattila, H. Melkas, Tuomo Uotila
This paper delineates how systemic innovations coevolve with organisations in the context of home care and describes the dynamics in shared innovation activities when information technology IT systems are developed for such services. Innovation literature is presented from the system perspective to highlight non-technological characteristics. The case study of home-care services in Finland in 2010-2014 shows that systemic innovations result from collaborative actions because the complexity of these innovations requires knowledge and skills from different fields, which no single entity possesses. The multi-level dynamics challenges the management alternatives that focus either on larger development platforms for transitions, or product-based diffusion-then facing later obstacles related to fragmented solutions when merging IT systems and processes. This study contributes by exploring the complexity of developing innovative solutions under dynamic conditions, when actors have different focuses, interests and interdependencies.
{"title":"Redesign of Home Care Service Delivery: A Systemic Approach to IT Innovations","authors":"M. Mäkimattila, H. Melkas, Tuomo Uotila","doi":"10.4018/IJISSC.2017040101","DOIUrl":"https://doi.org/10.4018/IJISSC.2017040101","url":null,"abstract":"This paper delineates how systemic innovations coevolve with organisations in the context of home care and describes the dynamics in shared innovation activities when information technology IT systems are developed for such services. Innovation literature is presented from the system perspective to highlight non-technological characteristics. The case study of home-care services in Finland in 2010-2014 shows that systemic innovations result from collaborative actions because the complexity of these innovations requires knowledge and skills from different fields, which no single entity possesses. The multi-level dynamics challenges the management alternatives that focus either on larger development platforms for transitions, or product-based diffusion-then facing later obstacles related to fragmented solutions when merging IT systems and processes. This study contributes by exploring the complexity of developing innovative solutions under dynamic conditions, when actors have different focuses, interests and interdependencies.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124386285","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}
Pub Date : 2017-04-01DOI: 10.4018/IJISSC.2017040102
Iljoo Kim, Vipul Gupta
The overwhelming supply of online information on the Web makes finding better ways to separate important information from the noisy data ever more important. Recommender systems may help users deal with the information overloading issue, yet their performance appears to have stalled in currently available approaches. In this study, the authors propose and examine a novel user profiling approach that uses collaborative tagging information to enhance recommendation performance. They evaluate the proposed hybrid approach, illustrated in the context of movie recommendation. The authors also empirically evaluate various existing recommendation approaches in comparison with the newly proposed approach using sensitivity analyses to investigate the potential use of varied user rating or tagging patterns to improve recommendations accuracy. The results don't just indicate the effective and competitive performance of the suggested approach, but they also suggest important implications and directions for further research, including the potential associated with applying multiple recommendation approaches within a single system based on the different rating or tagging patterns of the user.
{"title":"Using Social Tags and User Rating Patterns for Collaborative Filtering","authors":"Iljoo Kim, Vipul Gupta","doi":"10.4018/IJISSC.2017040102","DOIUrl":"https://doi.org/10.4018/IJISSC.2017040102","url":null,"abstract":"The overwhelming supply of online information on the Web makes finding better ways to separate important information from the noisy data ever more important. Recommender systems may help users deal with the information overloading issue, yet their performance appears to have stalled in currently available approaches. In this study, the authors propose and examine a novel user profiling approach that uses collaborative tagging information to enhance recommendation performance. They evaluate the proposed hybrid approach, illustrated in the context of movie recommendation. The authors also empirically evaluate various existing recommendation approaches in comparison with the newly proposed approach using sensitivity analyses to investigate the potential use of varied user rating or tagging patterns to improve recommendations accuracy. The results don't just indicate the effective and competitive performance of the suggested approach, but they also suggest important implications and directions for further research, including the potential associated with applying multiple recommendation approaches within a single system based on the different rating or tagging patterns of the user.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219647","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}
Pub Date : 2017-04-01DOI: 10.4018/IJISSC.2017040103
Trevor J. Bihl, K. Bauer
A computational political science approach is taken to analyze the State of the Union Addresses SUA from 1790 to 2015. While low-level features, e.g. linguistic characteristics, are commonly used for lexical analysis, the authors herein illustrate the utility of high-level features, e.g. Flesch-Kincaid readability, for knowledge discovery and discrimination between types of speeches. A process is developed and employed to exploit high-level features which employs 1 statistical clustering k-means and a literature review to define types of speeches e.g. written or oral, 2 classification methods via logistic regression to examine the validity of the defined classes, and 3 classifier-based feature selection to determine salient features. Recent interest in the SUA has posited that changes in readability in the SUA are due to declining audience capabilities; however, the authors' results show that changes in readability are a reflection of changes in the SUA delivery medium.
{"title":"Statistical Analysis of High-Level Features from State of the Union Addresses","authors":"Trevor J. Bihl, K. Bauer","doi":"10.4018/IJISSC.2017040103","DOIUrl":"https://doi.org/10.4018/IJISSC.2017040103","url":null,"abstract":"A computational political science approach is taken to analyze the State of the Union Addresses SUA from 1790 to 2015. While low-level features, e.g. linguistic characteristics, are commonly used for lexical analysis, the authors herein illustrate the utility of high-level features, e.g. Flesch-Kincaid readability, for knowledge discovery and discrimination between types of speeches. A process is developed and employed to exploit high-level features which employs 1 statistical clustering k-means and a literature review to define types of speeches e.g. written or oral, 2 classification methods via logistic regression to examine the validity of the defined classes, and 3 classifier-based feature selection to determine salient features. Recent interest in the SUA has posited that changes in readability in the SUA are due to declining audience capabilities; however, the authors' results show that changes in readability are a reflection of changes in the SUA delivery medium.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117280304","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}
Pub Date : 2017-04-01DOI: 10.4018/IJISSC.2017040104
Noura Azaiez, J. Akaichi, J. Hsu
Integrating the concept of mobility into the professional and organizational realm offers the possibility of reducing geographical disparities related to organization services. The advances made in technology, geographic information systems and pervasive systems equipped with global positioning GPS technologies have been able to bring about an evolution from classic data approaches towards the modeling of trajectory data resulting from moving activities of moving objects. As such, trajectory data needs first to be loaded into a Data Warehouse for analysis purposes. However, the traditional approaches used are poorly suited to handle spatio-temporal data features and also the decision making tasks related to mobility issues. Because of this mismatch, the authors propose to move beyond traditional approaches and propose a repository that is able to analyse trajectories of moving objects. Improving decision making and extracting pertinent knowledge with reduced costs and time expended are the main goals of this revised analysis approach. Thus, the authors propose an approach in which they employ the Bottom-up approach to modeling a Decision Support System which is designed to support Trajectory Data. As an example to illustrate this approach, the authors use a creamery and dairy milk mobile cistern application to demonstrate the effectiveness of their approach.
{"title":"Moving Beyond Traditional Decision Support Systems: The Power of Trajectory Data Modeling","authors":"Noura Azaiez, J. Akaichi, J. Hsu","doi":"10.4018/IJISSC.2017040104","DOIUrl":"https://doi.org/10.4018/IJISSC.2017040104","url":null,"abstract":"Integrating the concept of mobility into the professional and organizational realm offers the possibility of reducing geographical disparities related to organization services. The advances made in technology, geographic information systems and pervasive systems equipped with global positioning GPS technologies have been able to bring about an evolution from classic data approaches towards the modeling of trajectory data resulting from moving activities of moving objects. As such, trajectory data needs first to be loaded into a Data Warehouse for analysis purposes. However, the traditional approaches used are poorly suited to handle spatio-temporal data features and also the decision making tasks related to mobility issues. Because of this mismatch, the authors propose to move beyond traditional approaches and propose a repository that is able to analyse trajectories of moving objects. Improving decision making and extracting pertinent knowledge with reduced costs and time expended are the main goals of this revised analysis approach. Thus, the authors propose an approach in which they employ the Bottom-up approach to modeling a Decision Support System which is designed to support Trajectory Data. As an example to illustrate this approach, the authors use a creamery and dairy milk mobile cistern application to demonstrate the effectiveness of their approach.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123601174","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}
Pub Date : 2016-10-01DOI: 10.4018/IJISSC.2016100104
Abdullah Almobarraz
Reading and learning about religious information is a habit that Saudis practice to increase their understanding of Islamic rules. It is common now for people to learn about religion from social media. Therefore, the study reports on a survey that was distributed to people in Saudi Arabia to investigate the use of social media technologies for religious information seeking. The objective is to determine if Saudis utilize social media to search for religious information and to understand their information-seeking behaviors when using such a resource. In addition, the study is an attempt to investigate how religious information on social media changes and influences people, and what obstacles and difficulties Saudis encounter when they use social media to obtain religious information.
{"title":"Investigating the Seeking Behavior for Religious Information in Social Media","authors":"Abdullah Almobarraz","doi":"10.4018/IJISSC.2016100104","DOIUrl":"https://doi.org/10.4018/IJISSC.2016100104","url":null,"abstract":"Reading and learning about religious information is a habit that Saudis practice to increase their understanding of Islamic rules. It is common now for people to learn about religion from social media. Therefore, the study reports on a survey that was distributed to people in Saudi Arabia to investigate the use of social media technologies for religious information seeking. The objective is to determine if Saudis utilize social media to search for religious information and to understand their information-seeking behaviors when using such a resource. In addition, the study is an attempt to investigate how religious information on social media changes and influences people, and what obstacles and difficulties Saudis encounter when they use social media to obtain religious information.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870596","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}
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