43 research outputs found
Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business
No full textThis paper provides a multi-perspective vision of diversity and inclusion (D&I) projects aiming to promote equity in organisations seeking to build virtuous contexts where people can achieve positive professional and personal objectives. It introduces the understanding of D&I, best practices and outcomes of projects promoted in multicultural organisations, including academia, universities and research centres (Politecnico di Torino, university education in France and the French CNRS) and in leading international companies, namely Accenture and Nestlé. The paper gathers and extends the discussion and ideas exchanged in the D&I panel of the conference ADBIS-202
Fragmenting Very Large XML Data Warehouses via K-means Clustering Algorithm
No full textXML data sources are gaining popularity in the context of Business Intelligence and On-Line Analytical Processing (OLAP) applications, due to the amenities of XML in representing and managing complex and heterogeneous data. However, XML-native database systems currently suffer from limited performance, both in terms of volumes of manageable data and query response time. Therefore, recent research efforts are focusing on horizontal fragmentation techniques, which are able to overcome the above limitations. However, classical fragmentation algorithms are not suitable to control the number of originated fragments, which instead plays a critical role in data warehouses. In this paper, we propose the use of the K-means clustering algorithm for effectively and efficiently supporting the fragmentation of very large XML data warehouses. We complement our analytical contribution with a comprehensive experimental assessment where we compare the efficiency of our proposal against existing fragmentation algorithms
Goal-Oriented Requirement Engineering for XML Document Warehouses
No full texteXtensible Markup Language (XML) has emerged as the dominant standard in describing and exchanging data amongst heterogeneous data sources. The increasing presence of large volumes of data appearing creates the need to investigate XML document warehouses (XDW) as a means of handling the data for business intelligence. In our previous work (Nassis, Rajugan, Dillon, & Rahayu, 2004) we proposed a conceptual modelling Page 29 | Top of Articleapproach for the development of an XDW with emphasis on the design techniques. We consider important the need of capturing data warehouse requirements early in the design stage. The elicitation of requirements and their use for data warehouse design techniques. We consider important the need of capturing data warehouse requirements early in the design stage. The elicitation of requirements and their use for data warehouse design is a significant and, as yet, an unaddressed issue. For this reason, we explore a requirement engineering (RE) approach, namely the goal-oriented approach. We will extract and extend the notion of this approach to introduce the XML document warehouse (XDW) requirement model. In order to perform this, we consider organisational objectives as well as user viewpoints. Furthermore, these are related to the XDW particularly focussing on deriving dimensions, as opposed to associating organisational objectives to the system functions, which is traditionally carried out by R
Histoire de la pensée hellénistique et romaine, 1982-1991
No full textPublications — « N’oublie pas de vivre ». Goethe et la tradition des exercices spirituels, Paris, Albin Michel, 2008. — Préface à Sénèque, De la brièveté de la vie, dans Philosophie Magazine, n° 22, septembre 2008 (cahier central). Participation à un colloque Journée « Pierre Hadot et la philosophie française contemporaine », organisée par J.-Ch. Darmont, A. Davidson et F. Worms, le 1er juin 2007 à l’École normale supérieure. Entretiens — Entretiens avec Martin Legros dans Philosophie Magazin..
AQUARELLES
No full textComprend : VOUS, VOUS, VOUS / J. PLANTE, LOTAR OLIAS ; PATRICE ET MARIO - MON P'TIT FICHU / R. ROUZAUD, VERVE CORDOVIL ; MARIE DARMONT - TANGO MELODIE (Kiss tango) / P. HAVET, P. GUITTON, JOSE BELMONTE - LA FETE DES FLEURS / J. PLANTE, E.P. ZALDIVAR ; PIERRE MALAR - JE CROIS EN TOI / J. BROUSSOLE, DRAKE GRAHAM, SHIRL-STILLMAN ; GUY ROBIN - TOUT CA PARC'QU'AU BOIS D'CHAVILLE / P. DESTAILLES, CL. ROLLAND ; HENRI DECKER - MON COEUR CHERCHE TON COEUR (en français) / MIREILLE BROCEY, D'ESPOSITO ? ; LUCIANO TAJOLI - LA P'TITE MOME DE PARIS / R. CHICAL, JACK LEDRU, PRUD'HOMME ; LINA MARGYBnF-Partenariats, Collection sonore - BelieveContient une table des matière
Cloud business intelligent services to explore the synergies and interactions among climate change, air quality objectives
No full textIn this paper, formal mathematical concepts of dimensions and their constrains, variables or facts, a well as of the optimization module are used to specify a GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) multi dimensional model. Hereafter, with UML (Unified Modeling Language), we model a Cloud-based Business Intelligent Application Framework, including a set of services grouped into Data warehousing Services and Business Intelligent Services. While the first group of services are used to specify GAINS data warehouse data models and their implementation workflows, key data of scientific analysis are published in a transparent manner to end-users or applications in international strategic decision making with multiple levels of information requiremets by using the second one
Implementation of the Zendesk ecosystem for optimising processes and inter-team communication within the technical support department, as well as the integration of an artificial intelligence agent in a product-oriented IT company
No full textThis thesis presents a comprehensive implementation of the Zendesk ecosystem aimed at optimising technical support processes, strengthening inter-team communication, and introducing intelligent automation within a product-oriented IT company. Conducted at Proxima Research International, the project involved the migration from a legacy ticketing system to Zendesk, the development of a unified support workflow, and the integration of complementary tools, including Jira for incident escalation and the internal CRM for synchronising customer data. A central component of the work was the deployment of an AI-driven chatbot, designed to automate the processing of recurring requests, leverage the knowledge base through structured conversation flows, and provide multilingual, 24/7 user support.
The implemented solution standardised support procedures, improved SLA compliance, and enhanced visibility across departments through shared dashboards and automated reporting. KPI-driven evaluation showed measurable improvements: reduced ticket resolution times, increased first-response consistency, and an automation rate of up to 18–21% of monthly requests. Knowledge base optimisation further contributed to reduced agent workload and faster incident diagnosis. The combined ecosystem enabled seamless data exchange, transparent prioritisation, and a more efficient escalation pipeline between Support, Product, and Customer Success teams.
The findings confirm that integrating Zendesk with AI-based automation significantly increases operational efficiency, customer satisfaction, and process scalability. This work provides a practical reference model for IT organisations aiming to modernise technical support through intelligent service platforms, workflow standardisation, and cross-system integration
A Survey of XML Tree Patterns
No full textInternational audienceWith XML becoming an ubiquitous language for data interoperability purposes in various domains, efficiently querying XML data is a critical issue. This has lead to the design of algebraic frameworks based on tree-shaped patterns akin to the tree-structured data model of XML. Tree patterns are graphic representations of queries over data trees. They are actually matched against an input data tree to answer a query. Since the turn of the twenty-first century, an astounding research effort has been focusing on tree pattern models and matching optimization (a primordial issue). This paper is a comprehensive survey of these topics, in which we outline and compare the various features of tree patterns. We also review and discuss the two main families of approaches for optimizing tree pattern matching, namely pattern tree minimization and holistic matching. We finally present actual tree pattern-based developments, to provide a global overview of this significant research topic
Spatial Data Warehouse Modelling
No full textis concerned with multidimensional data models for spatial data warehouses. It first draws a picture of the research area, and then introduces a novel spatial multidimensional data model for spatial objects with geometry: the Multigranular Spatial Data warehouse (MuSD). The main novelty of the model is the representation of spatial measures at multiple levels of geometric granularit
LA COMPLAINTE DU PETIT CHEVAL BLANC / P. FORT. TEDDY / M. CAREME. LA CIGALE ET LA FOURMI / J. DE LA FONTAINE. PETIT LAPIN / M. CAREME. UNE IMAGE EST DANS MON COEUR / DARMONT. CHAT ET POUSSINS / DARMONT. LE LION ET LE RAT / J. DE LA FONTAINE. UN OEUF A LA COQUE / DARMONT. SOUHAIT / M. CAREME ; LE PETIT MICHEL
No full textBnF-Partenariats, Collection sonore - BelieveContient une table des matière
