B. Trousse

National Institute for Research in Computer Science and Control | INRIA · AXIS - Usage-centered Design, Analysis and Improvement of Information Systems Research Team (Sophia)

Chapitre 11 (sous la direction de B. Laperche, M. Lima, E. Sueillet et B. Trousse)

https://www.editions-harmattan.fr/index.asp?navig=catalogue&obj=livre&no=62879

Open Innovation 2.0 YearBook chapter

Dans le raisonnement à partir de cas (RàPC), la situation d'un cas décrit dans quel cadre sa connaissance est pertinente et nous faisons dans nos travaux une distinction entre d'une part une situation instantanée, ensemble d'indices définissant un état à un instant particulier, et d'autre part une situation comportementale, ensemble d'indices décri...

Knowledge Discovery in Databases (KDD) is a highly complex, iterative and interactive process that involves several types of knowledge and expertise. In this paper the authors propose to support users of a multi-view analysis (a KDD process held by several experts who analyze the same data with different viewpoints). Their objective is to enhance b...

This paper describes an Open Innovation case study within the European project ELLIOT - Experiential Living Lab for Internet of Things (IoT). In this context, our lab aimed at co-creating green services with a set of stakeholders on air quality and noise measurement on Nice Côte d’Azur (NCA) territory via citizen sensing. Our objectives dedicated t...

A 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 multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our a...

The Future Internet (FI) will dramatically broaden both the spectrum of available information and the user’s possible contexts and situations. This will lead to the vital need of a more efficient use of the Internet resources for the benefit of all. While the Internet has already delivered huge economic and social benefits over its short lifespan,...

This paper introduces a methodology for designing service concepts in the specific paradigm of the Internet of Things (IoT). In the frame of the European project ELLIOT -Experiential Living Lab for Internet Of Things -, the Living Lab ICT Usage Lab aims at co-creating "green" services, i.e. services based on air quality and noise mea-surement. Thes...

This paper explores User Experience, a rather novel and popular view on human-computer interaction, through an extensive review of the literature. After introducing its polysemous nature, this paper describes the origins of User Experience, its scope, components and various definitions. Then, User Experience methods are surveyed, distinguishing pro...

36 pages, Pacalabs Ecofamilies

FP7 Fireball coordination Action, http://www.fireball4smartcities.eu/

FP7 Fireball coordination Action, http://www.fireball4smartcities.eu/

Emilie Thibault (editor),CSTB-EKENOS-I3M-ICT Usage Lab, Pacalabs Ecofamilies

internal document pour la region PACA, 31 pages

Pacalabs Ecoffices, www.ecoffices.com

PREDIT ADEME Tic Tac (non public)

Involving users in research, design and innovation processes constitutes a fast growing topic of interest for which approaches, methods and tools are abundantly described in the literature. A Living Lab is an open research and innovation ecosystem that directs user communities towards co-creation principles and where stakeholders apply various user...

This paper examines the potential integration of Living Labs concepts of open and user driven innovation with Future Internet experimentally driven research approaches, in order to accelerate the user-driven development of Future Internet enabled services towards Smart Cities. Two key issues are underlying this integration: strengthening user invol...

Le 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 d...

Cities nowadays face complex challenges to meet objectives regarding socio-economic development and quality of life. The concept of “smart cities” is a response to these challenges. This paper explores “smart cities” as environments of open and user-driven innovation for experimenting and validating Future Internet-enabled services. Based on an ana...

Ce document interne AxIS (30 mars) a été enrichi et validé début avril lors d'interviews des principaux responsables scientifiques de l'Inria impliqués dans des projets européens et nationaux FIRE.

While new paradigms such as Open Innovation [1] and Web 2.0 [2] as well as Living Labs operating as a User Centred Open Innovation Ecosystem [3] promote a more proactive role of users in the R&D process, a number of existing methods for involving users are described in the literature, such as Lead User [4], User Driven Innovation [4], User Centred...

In this paper, we present a Web Mining exploratory approach to establish a comparative selection of current Open Innovation (OI) software tools. The starting point of this study relates to “ELLIOT” European project (FP7 ICT) that aims to develop an Internet of Things (IoT) experiential platform involving citizens and users from the early stage of i...

In the third edition of WePS campaign we have undertaken the person name disambiguation problem referred to as a clustering task. Our aim was to make use of intrinsic link relationships among Web pages for name resolution in Web search results. To date, link structure has not been used for this purpose. However, Web graph can be a rich source of in...

New paradigms, such as Open Innovation (Chesbrough, 2003) and Web 2.0 (O'Reilly, 2004) as well as Living Labs operating as a User Centred Open Innovation Ecosystem (Pallot, 2009), promote a more proactive role of users in the R&D process. However, a number of existing methods for involving users are abundantly described in the literature, such as L...

In this paper, we provide a report about the 8th French-speaking conference on Knowledge Discovery and Management (EGC'2008) [1] held in Sophia Antipolis, France, from January 29 th to February 1 st , 2008. Since 2001, this annual conference has been supported by the French-speaking association (EGC Association) which aims at promoting Data Mining...

This chapter proposes an original approach for ontology management in the context of Web-based information systems. Our approach relies on the usage analysis of the chosen Web site, in complement of the existing approaches based on content analysis of Web pages. Our methodology is based on the knowledge discovery techniques mainly from HTTP Web log...

This text analyses the papers accepted for the workshop "Reuse of designs: an interdisciplinary cognitive approach". Several dimensions and questions considered as important (by the authors and/or by us) are addressed: What about the "interdisciplinary cognitive" character of the approaches adopted by the authors? Is design indeed a domain where th...

The efficacy of a Web site is not only measured in terms of the ingoing traffic or the number of users but rather with respect to the knowledge of the user profiles who have visited it. In this paper we propose an approach for discovering the profiles of visitor groups of a Web site. Such knowledge could be especially useful for business applicatio...

The usage analysis of a Web site based on the extracted sequential patterns is often limited by the low support of these patterns. That is mainly due to the great diversity of the pages and behaviors. However, it is possible to group the majority of these pages in various categories during a preprocessing. Then, using these categories, rather than...

The analysis of a web site based on usage data is an important task as it provides insight into the organization of the site and its adequacy regarding user needs. This allows the relationship between prior categories and user browsing patterns to be explored. In this paper we propose an approach for discovering the profiles of visitor groups. To t...

The usage analysis of a Web site based on the extracted sequential patterns is often limited by the low support of these patterns. That is mainly due to the great diversity of the pages and behaviors. However, it is possible to group the majority of these pages in various categories during a preprocessing. Then, using these categories, rather than...

This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First, after presenting the clickstream dataset, we show how we build a rich data warehouse based an advanced preprocesing. We take into account the intersite...

In this paper, we propose an object-oriented framework for annotating viewpoint-based Knowledge Discovery from Databases (KDD) processes mainly based on the use of the design patterns. It ensures a development-evaluation-evolution process of an information system based on the Web according to multiple viewpoints. We show the benefits of using desig...

This article presents an original supervised classication tech- nique for XML documents which is based on structure only. Each XML document is viewed as an ordered labeled tree, represented by his tags only. Our method has three steps. After a cleaning step, we character- ize each predened cluster in terms of frequent structural subsequences. Then...

This paper presents our preprocessing and clustering method on a clickstream dataset issued from e-commerce domain. The main contributions of this article are double. First, after presenting the clickstream dataset, we show how we build a rich data warehouse based an advanced preprocessing method. We take into account the intersite aspects in the g...

This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for extracting knowledge from documents with unsupervised classification (clustering) of documents. We focus on the feature selection used for representin...

This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for extracting knowledge from documents with unsupervised classification (clustering) of documents. We focus on the feature selection used for representin...

Cette version corrige des erreurs dans le nom de 2 auteurs cites dans la bibliographie.

We studied a new general clustering procedure, that we call here Agglomerative 2–3 Hierarchical Clustering (2–3 AHC), which was proposed in Bertrand (2002a, 2002b). The three main contributions of this paper are: first, the theoretical study has led to reduce the complexity of the algorithm from O\mathcal{O} >(n3) to O\mathcal{O} (n2logn). Second...

This work reports on the applicability of the Broadway recommendation computation approach for implementing a query renement (QR) service in the context of a distributed information retrieval and gathering system. The Broadway recommendation approach is based on the following hypothesis: recommend to one user items or actions that have satised user...

In this paper we present a clustering of INRIA (The French National Institute for Research in Computer Science and Control) Web sites’ visited topics, using a hierachical classification method, the 2-3 hierarchical ascending classification proposed by Patrice Bertrand in 2002. The obtained clusters are then analyzed for their relevance.

This paper focuses on data preprocessing for WUM. Web page mining (WUM) applies data procedures to analyze user access of Well sites. As with any knowledge, discovery and data mining (KDD) process, WUM contains three main steps: preprocessing, knowledge extraction and results analysis. This data preprocessing try to determine the exact list of user...

The goal of this work is to increase the relevance and the interestingness of patterns discovered by a Web Usage Mining process. Indeed, the sequential patterns extracted on web log files, unless they are found under constraints, often lack interest because of their obvious content. Our goal is to discover minority users' behaviors having a coheren...

Web usage mining applies data mining procedures to analyze user access of Web sites. As with any KDD (knowledge discovery and data mining) process, WUM contains three main steps: preprocessing, knowledge extraction, and results analysis. We focus on data preprocessing, a fastidious, complex process. Analysts aim to determine the exact list of users...