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Domain-driven co-location mining / Frédéric Flouvat in Geoinformatica, vol 19 n° 1 (January - March 2015)
[article]
Titre : Domain-driven co-location mining Type de document : Article/Communication Auteurs : Frédéric Flouvat, Auteur ; Jean-François N’guyen Van Soc, Auteur ; Elise Desmier, Auteur ; Nazha Selmaoui-Folcher, Auteur Année de publication : 2015 Article en page(s) : pp 147 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] co-positionnement
[Termes IGN] érosion
[Termes IGN] exploration de données géographiques
[Termes IGN] géologie
[Termes IGN] PostGIS
[Termes IGN] sol
[Termes IGN] système expert
[Termes IGN] visualisation cartographiqueRésumé : (auteur) Co-location mining is a classical problem in spatial pattern mining. Considering a set of boolean spatial features, the goal is to find subsets of features frequently located together. It has wide applications in environmental management, public safety, transportation or tourism. These last years, many algorithms have been proposed to extract frequent co-locations. However, most solutions do a “data-centered knowledge discovery” instead of a “expert-centered knowledge discovery”. Successfully providing useful and interpretable patterns to experts is still an open problem. In this setting, we propose a domain-driven co-location mining approach that combines constraint-based mining and cartographic visualization. Experts can push new domain constraints into the mining algorithm, resulting in more relevant patterns and more efficient extraction. Then, they can visualize solutions using a new concise and intuitive cartographic visualization of co-locations. Using this original visualization approach, they identify new interesting patterns, and use uninteresting ones to define new constraints and refine their analysis. These proposals have been integrated into a prototype based on PostGIS geographic information system. Experiments have been done using a real geological datasets studying soil erosion, and results have been validated by a domain expert. Numéro de notice : A2015-487 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-014-0209-3 En ligne : https://doi.org/10.1007/s10707-014-0209-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77250
in Geoinformatica > vol 19 n° 1 (January - March 2015) . - pp 147 - 183[article]Entre diffusion de la carte et affirmation des savoirs géographiques en France : Les paradoxes de la mise en place de la carte géographique au 18e siècle / Nicolas Verdier in Espace géographique, vol 44 n° 1 (janvier - mars 2015)
[article]
Titre : Entre diffusion de la carte et affirmation des savoirs géographiques en France : Les paradoxes de la mise en place de la carte géographique au 18e siècle Type de document : Article/Communication Auteurs : Nicolas Verdier, Auteur Année de publication : 2015 Article en page(s) : pp 38 - 56 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie ancienne
[Termes IGN] découverte de connaissances
[Termes IGN] dix-huitième siècle
[Termes IGN] géographe
[Termes IGN] géographie générale
[Termes IGN] histoire de la cartographie
[Termes IGN] histoire des sciences et techniquesRésumé : (auteur) Avant que la géographie ne devienne une discipline en France (vers 1890), l’un des éléments qui devait être pris en compte pour savoir ce qui relevait du savoir géographique était la carte. Ainsi, les titres de « Géographe du roi » du xviii e siècle étaient-ils attribués à des auteurs de cartes et de plans. Or cette relation entre carte et géographie est problématique pour au moins deux raisons. D’abord parce qu’il existe d’autres formes de discours géographiques, ensuite parce que la carte, dont les usages se diffusent au siècle des Lumières, est utilisée par d’autres savoirs. De là découle une fragilité forte des savoirs géographiques qui explique au moins en partie son institutionnalisation tardive en discipline. Numéro de notice : A2015-714 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3917/eg.441.0038 En ligne : http://dx.doi.org/10.3917/eg.441.0038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78352
in Espace géographique > vol 44 n° 1 (janvier - mars 2015) . - pp 38 - 56[article]
contenu dans Proceedings of the 9th Workshop on Geographic Information Retrieval, GIR'2015 / Ross S. Purves (2015)
Titre : A multi-layer markup language for geospatial semantic annotations Type de document : Article/Communication Auteurs : Ludovic Moncla , Auteur ; Mauro Gaio, Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2015 Conférence : GIR 2015, 9th Workshop on Geographic Information Retrieval 26/11/2015 27/11/2015 Paris France Proceedings ACM Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] enrichissement sémantique
[Termes IGN] exploration de texte
[Termes IGN] itinéraire
[Termes IGN] langage de balisage
[Termes IGN] réseau neuronal artificiel
[Termes IGN] traitement du langage naturel
[Termes IGN] XMLRésumé : (auteur) In this paper, we describe a markup language for semantically annotating raw texts. We define a formal representation of text documents written in natural language that can be applied for the task of Named Entities Recognition and Spatial Role Labeling. The proposal relies on a multi-layer annotation process based on a core generic layer, which can be freely adapted into more specific layers depending on the intended goal. Our markup language is based on the TEI Guidelines to propose a generic and extensible markup language. This language is particularly dedicated for the text mining task and ready to use to be layered with more semantic relationships between elements of the text. We show the feasibility of this proposal from a generic annotation of texts describing itineraries toward a geospatial semantic annotation. Note de contenu : Paris France. Numéro de notice : C2015-014 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/2837689.2837700 En ligne : http://dx.doi.org/10.1145/2837689.2837700 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83166
Titre : Statistical analysis handbook : a comprehensive handbook of statistical concepts, techniques and software tools Type de document : Guide/Manuel Auteurs : Michael J. de Smith, Auteur Editeur : STAT!Ref Année de publication : 2015 Importance : 677 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] analyse de données
[Termes IGN] autocorrélation
[Termes IGN] corrélation
[Termes IGN] covariance
[Termes IGN] données statistiques
[Termes IGN] estimation statistique
[Termes IGN] exploration de données
[Termes IGN] régression
[Termes IGN] série temporelle
[Termes IGN] statistique descriptive
[Termes IGN] variable aléatoire
[Termes IGN] varianceIndex. décimale : 23.60 Statistiques et probabilités Résumé : (Auteur) [Introduction] The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades. Here are two contrasting definitions of what statistics is, from eminent professors in the field, some 60+ years apart: "Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena. In this definition 'natural phenomena' includes all the happenings of the external world, whether human or not." Professor Maurice Kendall, 1943, p2 [MK1]
"Statistics is: the fun of finding patterns in data; the pleasure of making discoveries; the import of deep philosophical questions; the power to shed light on important decisions, and the ability to guide decisions..... in business, science, government, medicine, industry..." Professor David Hand [DH1]
As these two definitions indicate, the discipline of statistics has moved from being grounded firmly in the world of measurement and scientific analysis into the world of exploration, comprehension and decision-making. At the same time its usage has grown enormously, expanding from a relatively small set of specific application areas (such as design of experiments and computation of life insurance premiums) to almost every walk of life. A particular feature of this change is the massive expansion in information (and misinformation) available to all sectors and age-groups in society. Understanding this information, and making well-informed decisions on the basis of such understanding, is the primary function of modern statistical methods.
Our objective in producing this Handbook is to be comprehensive in terms of concepts and techniques (but not necessarily exhaustive), representative and independent in terms of software tools, and above all practical in terms of application and implementation. However, we believe that it is no longer appropriate to think of a standard, discipline-specific textbook as capable of satisfying every kind of new user need. Accordingly, an innovative feature of our approach here is the range of formats and channels through which we disseminate the material - web, ebook and in due course, print. A major advantage of the electronic formats is that the text can be embedded with internal and external hyperlinks. In this Handbook we utilize both forms of link, with external links often referring to a small number of well-established sources, notably MacTutor for bibliographic information and a number of other web resources, such as Eric Weisstein's Mathworld and the statistics portal of Wikipedia, for providing additional material on selected topics. The treatment of topics in this Handbook is relatively informal, in that we do not provide mathematical proofs for much of the material discussed. However, where it is felt particularly useful to clarify how an expression arises, we do provide simple derivations. More generally we adopt the approach of using descriptive explanations and worked examples in order to clarify the usage of different measures and procedures. Frequently convenient software tools are used for this purpose, notably SPSS/PASW, The R Project, MATLab and a number of more specialized software tools where appropriate.
Just as all datasets and software packages contain errors, known and unknown, so too do all books and websites, and we expect that there will be errors despite our best efforts to remove these! Some may be genuine errors or misprints, whilst others may reflect our use of specific versions of software packages and their documentation. Inevitably with respect to the latter, new versions of the packages that we have used to illustrate this Handbook will have appeared even before publication, so specific examples, illustrations and comments on scope or restrictions may have been superseded. In all cases the user should review the documentation provided with the software version they plan to use, check release notes for changes and known bugs, and look at any relevant online services (e.g. user/developer forums and blogs on the web) for additional materials and insights. The interactive web version of this Handbook may be accessed via the associated Internet site: www.statsref.com. The contents and sample sections of the PDF version may also be accessed from this site. In both cases the information is regularly updated. The Internet is now well established as society’s principal mode of information exchange, and most aspiring users of statistical methods are accustomed to searching for material that can easily be customized to specific needs. Our objective for such users is to provide an independent, reliable and authoritative first port of call for conceptual, technical, software and applications material that addresses the panoply of new user requirements.
Readers wishing to obtain a more in-depth understanding of the background to many of the topics covered in this Handbook should review the Suggested Reading topic. Those seeking examples of software tools that might be used for statistical analysis should refer to the Software section.Note de contenu : Introduction
- Statistical data
- Statistical concepts
- Descriptive statistics
- Key functions and expressions
- Data transformation and standardization
- Data exploration
- Randomness and randomization
- Correlation and autocorrelation
- Estimation and estimators
- Classical tests
- Contingency tables
- Design of experiments
- Analysis of variance and covariance
- Regression and smoothing
- Time series analysis and temporal autocorrelation
- Resources (Distribution tables, R code snippets, Statistical software etc)
Afterword: Big DataNuméro de notice : 22862 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Manuel En ligne : http://www.statsref.com/HTML/index.html Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89298
contenu dans Proceedings of the 9th Workshop on Geographic Information Retrieval, GIR'2015 / Ross S. Purves (2015)
Titre : TEXTOMAP : determining geographical window for texts Type de document : Article/Communication Auteurs : Geoffrey Brun , Auteur ; Catherine Dominguès , Auteur ; Marie-Dominique Van Damme , Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2015 Conférence : GIR 2015, 9th Workshop on Geographic Information Retrieval 26/11/2015 27/11/2015 Paris France Proceedings ACM Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] exploration de texte
[Termes IGN] toponyme
[Termes IGN] traitement du langage naturelRésumé : (auteur) In newspapers or scholar manuals, numerous texts are accompanied by maps. In these map/text couples, maps give a spatial portrayal of the text issues, thus they make the spatial issues easier to understand. TEXTOMAP aims to design the geographical window of the text, based on the notion of important toponyms according to text issues. The important toponym selection is based on indicators which may be spatial, linguistic or semantic. Examples of geographical window calculation are shown and compared with the corresponding CLAVIN geographical focus. The work is in progress and perspectives are offered. Note de contenu : Paris France.. Numéro de notice : C2015-013 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1145/2837689.2837703 Date de publication en ligne : 26/11/2015 En ligne : http://dx.doi.org/10.1145/2837689.2837703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83289 PermalinkExploring and visualizing differences in geographic and linguistic web coverage / Ramya Venkateswaran in Transactions in GIS, vol 18 n° 6 (December 2014)PermalinkA polygon-based clustering and analysis framework for mining spatial datasets / Sujing Wang in Geoinformatica, vol 18 n° 3 (July 2014)PermalinkSLIDER: Software for LongItudinal Data Exploration with R / Hadrien Commenges in Cybergeo, European journal of geography, n° 2014 ([01/06/2014])PermalinkAmadeus : analyse de données massives en sciences de la Terre et de l'univers / Collectif Amadeus in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 19 n° 3 (mai - juin 2014)PermalinkBig data, le cas des systèmes d'information / Josiane Mothe in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 19 n° 3 (mai - juin 2014)PermalinkGaia, validation des données. Un milliard d'étoiles, de pixels et de mégaoctets / F. Arenou in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 19 n° 3 (mai - juin 2014)PermalinkLe projet Fresqueau : exploiter les données massives concernant les cours d'eau / Florence Le Ber in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 19 n° 3 (mai - juin 2014)Permalinkvol 19 n° 2 - mars - avril 2014 - Vers une adaptation dynamique et contextuelle des systèmes d'information (Bulletin de Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI) / Chantal Soulé-DupuyPermalinkCombining Geo-SOM and hierarchical clustering to explore geospatial data / Chen-Chieh Feng in Transactions in GIS, vol 18 n° 1 (February 2014)Permalink