Transformation of WSDL files using ETL in the E-orientation domain

The E-orientations platforms become an essential space for students to base their choice on tangible elements, as they offer a macroscopic view of the different academic and professional fields. In this context the Center for Engineering Sciences and Applied Sciences “SISA” funded the MMS Orientation project to focus on student orientation in Morocco. With respect to the peculiarity and the different characteristics of the E-orientation platforms, a comparative study is essential. In this article we will proceed by a comparative study of a sample of platforms in order to highlight the major functionalities that we will model through descriptive files. The work is divided into two parts: The first part will be a comparison and description of existing platforms using descriptive language (WSDL), the second part will use ETL as a transformation technology in order to highlight generic files that will serve as a basis for work. the expected meta model

New CRM Architecture Adapted To Big Data

The business model as known by the majority of specialists has moved from product concentration to the customer concentration. And as we all know, electronic commerce and generally the world of technology has exponentially believed that principal. In this era, many companies have begun to permeate the Electronic Customer Relationship Management (CRAG / E-CRM) more than conventional CRM to better understand their customers. As early as the first definitions of the CRM, we found among the main three axes - technology - Currently the data world is also outstanding to have a change with the advent of Big Data paradigm. There is a need to rethink and reconsider the validity of existing architectures management of electronic customer relationship. In this paper, we will see the existing architectures, and we subsequently present architecture with features capable to respect and exploit the new data based on research works. DOI: 10.17762/ijritcc2321-8169.150714

Intégration des connaissances de domaine dans un processus d'ECD multi-vues

International audienceLe processus d'Extraction de Connaissances à partir de Données (ECD) est un processus itératif et interactif complexe faisant appel à plusieurs types de connaissances et de savoir faire. Dans ce papier nous proposons d'appréhender la complexité d'un processus d'ECD multi-vues, c.-à-d. un processus mené par plusieurs experts avec différents points de vue. Notre objectif est d'assurer une meilleur coordination et compréhension entre les différents analystes d'une analyse multi-vues. Ainsi, nous proposons une modélisation de la notion de point de vue en ECD en se basant sur le standard CRISP-DM, et en tenant compte des connaissances expertes de domaine mises en œuvre lors d'une analyse d'ECD

Ontology-Based Knowledge Model for Multi-View KDD Process

International audienceKnowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper we propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints). Our objective is to enhance both the reusability of the process and coordination between users. To do so, we propose a formalization of viewpoint in KDD and a Knowledge Model that structures domain knowledge involved in a multi-view analysis. Our formalization, using OWL ontologies, of viewpoint notion is based on CRISP-DM standard through the identification of a set of generic criteria that characterize a viewpoint in KDD

Goal-Driven Approach to Model Interaction between Viewpoints of a Multi-View KDD process

International audienceA data mining project is usually held by several actors (domain experts, data analysts, KDD experts ...), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multiview KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step of KDD process. Then, based on this goal model, we define a set of relations between viewpoints of a multi-view analysis; namely equivalence, inclusion, conflict and requirement