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Pattern recognition - Wikipedia

Pattern recognition - Wikipedia
Pattern recognition algorithms generally aim to provide a reasonable answer for all possible inputs and to perform "most likely" matching of the inputs, taking into account their statistical variation. This is opposed to pattern matching algorithms, which look for exact matches in the input with pre-existing patterns. A common example of a pattern-matching algorithm is regular expression matching, which looks for patterns of a given sort in textual data and is included in the search capabilities of many text editors and word processors. In contrast to pattern recognition, pattern matching is generally not considered a type of machine learning, although pattern-matching algorithms (especially with fairly general, carefully tailored patterns) can sometimes succeed in providing similar-quality output to the sort provided by pattern-recognition algorithms. Overview[edit] Probabilistic classifiers[edit] They output a confidence value associated with their choice. . to output labels . . . where

http://en.wikipedia.org/wiki/Pattern_recognition

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What is Pattern Analysis? PATN is a software package that performs Pattern Analysis. PATN aims to try and display patterns in complex data. Complex in PATN's terms, means that you have at least 6 objects that you want to know something about and a suite of more than 4 variables that describe those objects. Data must be in the form of a spreadsheet of rows (the objects in PATN) and the columns (variables), as in Microsoft Excel™. There are usually around 7 components to a 'realistic' (read as adequate, comprehensive, fair, reasonable or intelligent) pattern analysis in PATN-

Tools - Cool Infographics Adioma creates information graphics out of your textual data, using timelines, grids and icons. Create impressive charts from spreadsheets. Assemble into dashboards, embed in websites, or simply share a link. A Python interactive visualization library that targets modern web browsers for presentation Cacoo is a free online drawing tool that allows you to create a variety of diagrams such as site map, flowchart, mind map, wire frame, UML diagram and network diagram. Crowdsourced Analytics Solution Marketplace - Make Sense of Big Data Free interactive charts created online in seconds ChartGo is an online graph maker tool. Simply choose your settings, enter your data and hit create. NodeXL Graph Gallery: Graph Details The graph represents a network of 1,613 Twitter users whose recent tweets contained "#agchat", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 December 2016 at 16:56 UTC. The tweets in the network were tweeted over the 9-day, 18-hour, 37-minute period from Saturday, 03 December 2016 at 22:04 UTC to Tuesday, 13 December 2016 at 16:42 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions". The graph is directed. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

Visual Literacy: An E-Learning Tutorial on Visualization for Communication, Engineering and Business Visual Cards for Collaboration and Team Creativity Making the Complex Clear Visual Literacy for Managers - How Sketching enables Visual Problem Solving and Communication (get the hardcopy edition at sketchingatwork.com) By clicking on a map or diagram thumbnail below, you can access an interactive graphic overview on tools, books, researchers in different visualization fields, as well as on key success factors of visualization.

New DataBasic Tool Lets You “Connect the Dots” in Data Catherine D'Ignazio and I have launched a new DataBasic tool and activity, Connect the Dots, aimed at helping students and educators see how their data is connected with a visual network diagram. By showing the relationships between things, networks are useful for finding answers that aren’t readily apparent through spreadsheet data alone. To that end, we’ve built Connect the Dots to help teach how analyzing the connections between the “dots” in data is a fundamentally different approach to understanding it. The new tool gives users a network diagram to reveal links as well as a high level report about what the network looks like. Using network analysis helped Google revolutionize search technology and was used by journalists who investigated the connections between people and banks during the Panama Papers Leak.

Spreadsheets Are Graphs Too! - Neo4j Graph Database By Felienne Hermans, Assistant Professor, Delft University of Technology | August 26, 2015 Editor’s Note: Last May at GraphConnect Europe, Felienne Hermans – Assistant Professor at Delft University of Technology – gave this engaging talk on why you shouldn’t overlook the power of the humble spreadsheet. Listen to or read her presentation below. Register for GraphConnect San Francisco to hear more speakers like Felienne present on the emerging world of graph database technologies. People often ask me, ‘How is it possible that you research spreadsheets?

Tutorial 1: Introducing Graph Data Next: Introducing RDF The semantic web can seem unfamiliar and daunting territory at first. If you're eager to understand what the semantic web is and how it works, you must first understand how it stores data. We start from the ground up by outlining the graph database - the data storage model used by the semantic web. After this tutorial, you should be able to: Describe in basic terms what the semantic web is.Experience the paradigm-shift of storing information as a graph database, rather than a hierarchical or relational database.Understand that the semantic web of data is defined using Resource Description Framework (RDF).Understand the basic principles of RDF statements and how they can define data graphs.

SKOS Simple Knowledge Organization System - home page SKOS is an area of work developing specifications and standards to support the use of knowledge organization systems (KOS) such as thesauri, classification schemes, subject heading lists and taxonomies within the framework of the Semantic Web ... [read more] Alignment between SKOS and new ISO 25964 thesaurus standard (2012-12-13) ISO 25964-1, published in 2011, replaced the previous thesaurus standards ISO 2788 and ISO 5964 (both now withdrawn). Members of the Working Group responsible for ISO 25964 have gone on to consider the implications for SKOS users. They have developed a set of linkages between the elements of the ISO 25964 data model and the ones from SKOS, SKOS-XL, and MADS/RDF.

What is an ontology and why we need it Figure 8. Hierarchy of wine regions. The "A" icons next to class names indicate that the classes are abstract and cannot have any direct instances. The same class hierarchy would be incorrect if we omitted the word “region” from the class names. We cannot say that the class Alsace is a subclass of the class France: Alsace is not a kind of France. MooWheel: a javascript connections visualization library View the project on Google Code 06.29.2008 version 0.2 now available! get it. What's new? Looking for version 0.1 instead? The purpose of this script is to provide a unique and elegant way to visualize data using Javascript and the <canvas> object. This type of visualization can be used to display connections between many different objects, be them people, places, things, or otherwise.

OntoWiki — Agile Knowledge Engineering and Semantic Web CubeViz -- Exploration and Visualization of Statistical Linked Data Facilitating the Exploration and Visualization of Linked Data Supporting the Linked Data Life Cycle Using an Integrated Tool Stack Increasing the Financial Transparency of European Commission Project Funding Managing Multimodal and Multilingual Semantic Content Improving the Performance of Semantic Web Applications with SPARQL Query Caching

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