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Exploration de données

Exploration de données

http://fr.wikipedia.org/wiki/Exploration_de_donn%C3%A9es

Related:  DatavizDATA MININGWikipedia KB

The 5 Best Free Tools For Making Slick Infographics It's not enough to simply write about data any longer; the world wants visuals. While there are many professional information designers making a name for themselves, such as Nicholas Felton of Feltron.com, the majority of these digital artists are up to their eyeballs in high-paying work. Where does this leave you? Well, if you want to spruce up your documents, blog posts, and presentations, there are some free tools online that can help. Many Eyes This IBM Research tool gives you two choices: an option to browse through existing sets of data, or use your own.

Forrester Research George Colony, CEO of Forrester Research Forrester Research is an independent technology and market research company that provides advice on existing and potential impact of technology, to its clients and the public. Forrester Research has five research centers in the US: Cambridge, Massachusetts; New York, New York; San Francisco, California; Washington, D.C.; and Dallas, Texas. Backdoor (computing) A backdoor in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing unauthorized remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice) or may subvert the system through a rootkit[1] Default passwords can function as backdoors if they are not changed by the user. Some debugging features can also act as backdoors if they are not removed in the release version.[2] A backdoor in a login system might take the form of a hard coded user and password combination which gives access to the system. Many computer worms, such as Sobig and Mydoom, install a backdoor on the affected computer (generally a PC on broadband running Microsoft Windows and Microsoft Outlook).

Data mining Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.[1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.[1][2][3][4] Data mining is the analysis step of the "knowledge discovery in databases" process or KDD.[5] Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.[1] Etymology[edit] In the 1960s, statisticians and economists used terms like data fishing or data dredging to refer to what they considered the bad practice of analyzing data without an a-priori hypothesis.

Data Mining: What is Data Mining? Overview Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data.

Fusion Tables - Gather, visualize, and share data tables online Bust your data out of its silo! Get more from data with Fusion Tables. Fusion Tables is an experimental data visualization web application to gather, visualize, and share data tables. Visualize bigger table data online Data mining Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD),[1] an interdisciplinary subfield of computer science,[2][3][4] is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.[2] The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.[2] Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.[2] Etymology[edit] In the 1960s, statisticians used terms like "Data Fishing" or "Data Dredging" to refer to what they considered the bad practice of analyzing data without an a-priori hypothesis. Background[edit] Process[edit]

Platform as a service Platform as a service (PaaS) is a category of cloud computing services that provides a computing platform and a solution stack as a service.[1] Along with software as a service (SaaS) and infrastructure as a service (IaaS), it is a service model of cloud computing. In this model, the consumer creates the software using tools and/or libraries from the provider. The consumer also controls software deployment and configuration settings. The provider provides the networks, servers, storage, and other services that are required to host the consumer's application.[2] PaaS offerings facilitate the deployment of applications without the cost and complexity of buying and managing the underlying hardware and software and provisioning hosting capabilities.[3] There are various types of PaaS vendors; however, all offer application hosting and a deployment environment, along with various integrated services.

Data Mining - PPDM Wiki From PPDM Wiki Introduction Traditional data analysis is done by inserting data into standards or customized models. In either case, it is assumed that the relationships among various system variables are well known and can be expressed mathematically. Are data mining and data warehousing related? - HowStuffWorks Both data mining and data warehousing are business intelligence tools that are used to turn information (or data) into actionable knowledge. The important distinctions between the two tools are the methods and processes each uses to achieve this goal. Data mining is a process of statistical analysis.

LUNA Browser luna browser NEW! The new LUNA Browser has many powerful tools to help you find, work with and share content. New features include: Create Web Widgets and embed them in outside applications Build Media Groups Create a slide show from a Media Group Create dynamic presentations Easily create a link to any view, Media Group, slide, or presentation Search Flickr for added content via the External Media Search Create annotations on the map images and share them. Use the advanced viewing tools in the LUNA Workspace Content specific Help for more information on how to use the LUNA Browser Learn, create, share and Explore... Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j. Download and installDocsCoursesBook

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