{"title":"Towards an assessment model of end user satisfaction and data quality in Business Intelligence systems","authors":"Sara Bouchana, M. Idrissi","doi":"10.1109/SITA.2015.7358431","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358431","url":null,"abstract":"While substantial business investment in business intelligence systems (BIS) is continuing to accelerate, there is an urgent need of specific and rigorous methods to assess their performance and effectiveness. There are some scholars that have handled the measurement of Business Intelligence (BI) from a value perspective; others have chosen to assess the BI process, while some have tried to rather evaluate the performance of BI systems. However, there are practically no empirical research papers at hand concerning the measurement of BI systems seen from a product perspective. Therefore, we propose in this paper a product oriented evaluation of two major aspects of BIS: end user satisfaction with the intelligence produced by BIS and the quality of the data conveyed to end users. By exploiting the lessons learned from prior attempts to measure those two dimensions in information systems, we present a new evaluation model that is based on an understanding of the characteristics and the intelligence produced by BIS. We then propose a list of dimensions to be assessed in an examination of the relationship between end user's satisfaction and the quality of data conveyed to them. In this paper, multiple definitions of business intelligence in the literature are presented; besides, business intelligence systems measurement from different points of view is addressed. The purpose of this paper is to present an assessment model of end user satisfaction and data quality in BIS that participates towards the development of an evaluation approach of business intelligence systems seen from a product perspective.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131889427","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}
{"title":"Cybercrime profiling: Text mining techniques to detect and predict criminal activities in microblog posts","authors":"Salim Alami, O. Beqqali","doi":"10.1109/SITA.2015.7358435","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358435","url":null,"abstract":"The exponential development in online social media allows users around the globe the possibility to share and communicate information and ideas freely in different formats of data via internet. This emerging media has become a dominant communication tool and it has been used as a communication channel in several events, especially “The Arab Spring” and BOSTON'S attack etc. In order to develop useful profiles of different cybercriminals, text mining techniques is an effective way to detect and predict criminal activities in microblog posts taking account the problems of data sparseness and semantic gap. The hashtags used on Twitter (e.g., #arabspring, #BostonAttack) contains outstanding indicators to detect events and trending topics especially to target and detect suspicious topics and eventual illegal events. Similarity approach is used in text analysis to detect suspicious posts in microblog publications. The evaluation of our proposed approach is done within real posts.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129466655","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}
Ridouane Oulhiq, Saad Ibntahir, Marouane Sebgui, Z. Guennoun
{"title":"A fingerprint recognition framework using Artificial Neural Network","authors":"Ridouane Oulhiq, Saad Ibntahir, Marouane Sebgui, Z. Guennoun","doi":"10.1109/SITA.2015.7358382","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358382","url":null,"abstract":"Fingerprinting is one of the most used biometrics for people identification, it relays on image processing and classification algorithms. In this work we propose and test a framework that enables fingerprint detection using a set of image pre-processing algorithm. Concerning the features extraction, we propose the use of the number of bifurcations in image localities, and we propose the use of Artificial Neural Network (ANN) for the classification. The performance of our framework is evaluated for three different activation functions and show that we can reach an accuracy of 81%.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128309344","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}
{"title":"Mapping in GAV context","authors":"M. Yazidi, A. Zellou, A. Idri","doi":"10.1109/SITA.2015.7358376","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358376","url":null,"abstract":"Mediation is an approach that allows integrating different heterogeneous, distributed and scalable data sources. The objective of our paper is to define an approach of mapping, one of the essential operations that can describe and define the set of links between the two levels of mediation system: mediator schema (global) and schemas of sources to be integrated (local). Our approach allows to define the mapping for systems with complex schemas (schemas with complexes elements) and this by using functions developed that taking into account two aspects: syntactic and semantic.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381528","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}
{"title":"Soft assignment vs hard assignment coding for bag of visual words","authors":"Hiba Chougrad, Hamid Zouaki, Omar Alheyane","doi":"10.1109/SITA.2015.7358422","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358422","url":null,"abstract":"In image classification and retrieval, the semantic gap is the major challenge. It characterizes the difference between human perception of a concept and how it can be represented using machine level language. Bag of visual words is a well-known efficient method for image representation, however it showed some limitations. The loss of information during the vector quantization process is one of these limitations. Many approaches were proposed in order to deal with this, such as the soft-assignment technique and sparse or local coding schemes. This paper aims to compare and evaluate the extent that has the soft-assignment approach especially the recently proposed locality-constrained linear coding over the traditional hard assignment methods.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123154074","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}
{"title":"Towards an interpretable Rules Ensemble algorithm for classification in a categorical data space","authors":"Mohamed Azmi, A. Berrado","doi":"10.1109/SITA.2015.7358390","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358390","url":null,"abstract":"With the rapid growth of big data technology, classification plays an increasingly important role in decision making in many research areas. Several studies have been made in recent years to improve the accuracy-interpretability of classification models. In this paper, we present and discuss different classification methods, Random Forest, Boosting, CBA (Classification Based on Association) and Rulefit. We discuss the advantages and the limitations of each algorithm and finally we introduce a prototype model that combines some advantages that characterize the presented algorithms.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765703","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}
{"title":"Conceptual alignment between SPEM-based processes and CMMI","authors":"Noureddine Kerzazi","doi":"10.1109/SITA.2015.7358391","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358391","url":null,"abstract":"In the course of process improvement, software organizations attempt to concurrently implement practices that originate from different models, extracting the best from each. Issues of integration and compliance are raised due to missing conceptual view. This paper presents a new method for an explicit alignment between SPEM-based software process modeling and CMMI corpus of best practices. The alignment of process activities with CMMI goes beyond the maturity assessment; it sustains the conceptualization of introducing new software engineering practices at the process-level and open a new topic of combining conceptually parts of different process models. Our method extends the SPEM Meta-model by introducing new interface to CMMI Meta-data. This extension allows visualization of the practices' intentions within the activity breakdown structure. In addition, it offers a conceptual assessment of process maturity level according to CMMI scales. The method has been fully implemented in a process modeling tool and applied in both academic and industrial contexts to justify improvement opportunities through meaningful dashboards.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115286533","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}
{"title":"Strategic Alignment and Information System project portfolio optimization model","authors":"Salah Jadda, M. Idrissi","doi":"10.1109/SITA.2015.7358385","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358385","url":null,"abstract":"With the evolution of Information and Communication Technology (ICT), Information Systems (IS) have become complex and difficult to control in the absence of definite necessary accompanying measures and lack of adherence of all stakeholders. Thus, a serious problem has faced organizations: how to develop Information Systems that provide both a better alignment with the organization's business strategy and a better added value? In this paper, we propose an optimization model that addresses this problem by providing a strategic alignment (SA) approach of IS projects while maximizing the value of projects. Strategic alignment is evaluated according to a well defined process that determines strategic axes, operational objectives, processes and functions of the information system to be developed according to a target of functional architecture. The project value is calculated according to criteria that each organization could define (estimated financial benefit, risk control, environmental efficiency, etc.). The model allows for determining IS project portfolio by taking into account the synergy created by projects that are located in the same portfolio, the constraints related to projects and resources.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125496","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}
{"title":"Analyzing the non-functional requirements to improve accuracy of software effort estimation through case based reasoning","authors":"Fadoua Fellir, Khalid Nafil, R. Touahni","doi":"10.1109/SITA.2015.7358402","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358402","url":null,"abstract":"Producing accurate software effort estimation is essential for effective software project management that remains a considerable challenge to software engineering and software industry in general. Many methods have been proposed to increase the accuracy of estimating the software project size, effort, or cost. However, the primary focus has been on functional requirements FRs. We are convinced that the rigorous estimation requires a thorough knowledge of all the requirements of the software to be measured. Consequently, a clear identification of the FRs and NFRs as well as a strong understanding of the relationships existing between them is crucial to get measurements closer to reality. In this paper, we propose an early software size and effort estimation method based on a combination of COSMIC and case based reasoning that uses individual requirement measurements as a solution to improve the performance of CBR and to increase the precision of the estimations. This hybrid technique consists in adjusting the FRs measurements by the effect of NFRs with which they are connected. A new link requirements model is proposed in which the possible relationships existing between FRs and NFRs are expressed. This combination will help to efficiently include NFRs, and their relations with FRs, earlier in the measurement process and throughout the life cycle of the software development project.","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133164332","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}
{"title":"Multi-criteria distribution network selection","authors":"A. Elmokrini, L. Benabbou, A. Berrado","doi":"10.1109/SITA.2015.7358393","DOIUrl":"https://doi.org/10.1109/SITA.2015.7358393","url":null,"abstract":"Balancing high levels of performance and reduced costs has become a crucial goal for organizations. Managers nowadays thrive to achieve a competitive advantage through the optimization of the supply chain distribution network (DN). This work proposes a decision making approach for choosing the right DN. Based on prioritized criteria such as SC responsiveness and costs, it allows comparing different distribution networks and selecting the most appropriate one; in two cases of prioritization of the decision maker. The ranking of these alternatives is done through the application of the multi-criteria decision analysis (MCDA) method AHP (Analytic Hierarchy Process).","PeriodicalId":174405,"journal":{"name":"2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125845","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}