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Konstanz Information Miner

Konstanz Information Miner
KNIME [naim] is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries.

http://www.knime.org/

Related:  Big data

Course Offer for 2000-2001 Spring Semester MIS 542 Data Mining Concepts and Techniques 2013/2014 Fall Instructor: Bertan Badur, Ph.D. Web-Harvest Project Home Page 1. Welcome screen with quick links 2. Web-Harvest XML editing with auto-completion support (Ctrl + Space) 3. Defining initial variables that are pushed to the Web-Harvest context before execution starts

OpenProj Open Source Project Management Software — Serena Software OpenProj is a free and powerful open source desktop alternative to Microsoft Project. Serena released OpenProj in 2008 as an open source code project. OpenProj is no longer supported by Serena. Please visit the SourceForge website to find out more. OpenProj provides project managers the rich functionality they expect, including Gantt charts, WBS and more - minus the costs of commercial desktop tools. Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature.

Intro To Predictive Analytics Reading List Predictive Analytics Is Red Hot Why? What organization couldn’t benefit from making better decisions? Just ask the Obama campaign, which used sophisticated uplift modeling to target and influence swing voters. Wiki / Jobs You can select what type of results 80legs generates for you. Available options are: Unique and total count - 80legs outputs the # of unique matches and total # of matches for your content selection strings (i.e., keywords or regular expressions)Boolean array - 80legs outputs the two numbers above plus a 1 or 0 for each string, depending on whether or not that string was foundCount array - 80legs outputs the unique and total count plus the total count for each stringCode results - If you select to analyze content using code, result type will default to this option Here are some examples of each result type. In these examples, we've crawled and analyzed two pages: The contents of the first page are 'test1 test1 test2 test3 test5'.

The C10K problem [Help save the best Linux news source on the web -- subscribe to Linux Weekly News!] It's time for web servers to handle ten thousand clients simultaneously, don't you think? After all, the web is a big place now. And computers are big, too. You can buy a 1000MHz machine with 2 gigabytes of RAM and an 1000Mbit/sec Ethernet card for $1200 or so. Let's see - at 20000 clients, that's 50KHz, 100Kbytes, and 50Kbits/sec per client.

Predictive Analytics 101 Insight, not hindsight is the essence of predictive analytics. How organizations instrument, capture, create and use data is fundamentally changing the dynamics of work, life and leisure. I strongly believe that we are on the cusp of a multi-year analytics revolution that will transform everything. Using analytics to compete and innovate is a multi-dimensional issue. It ranges from simple (reporting) to complex (prediction). Reporting on what is happening in your business right now is the first step to making smart business decisions.

Features Ready for Mission Critical Applications Simple to Use You can be up and running with Spinn3r in less than an hour. We ship a standard reference client that integrates directly with your pipeline. If you're running Java, you can get up and running in minutes. If you're using another language, you only need to parse out a few XML files every few seconds.

Box plot In descriptive statistics, box plot or boxplot is a convenient way of graphically depicting groups of numerical data through their quartiles. Box plots may also have lines extending vertically from the boxes whiskers indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Outliers may be plotted as individual points. This is also called a "box and whisker plot".

Fall 10 Course: Introduction to Data Mining and Analysis Syllabus (tentative) What's this course about? Data is everywhere now, and advanced data analysis methods (variously called "machine learning", "data mining", and "pattern recognition") are now in use everywhere.

Scraping · chriso/node.io Wiki Node.io includes a robust framework for scraping data from the web. The primary methods for scraping data are get and getHtml, although there are methods for making any type of request, modifying headers, etc. See the API for a full list of methods. Starting Your Big Data Lab for a POC In continuation of my previous blog post, “6 Steps to Start Your Big Data Journey,” I want to address here the question “How should you start your big data journey?” What is the Big Data Lab? The Big Data Lab is a dedicated development environment, within your current technology infrastructure, that can be created explicitly for experimentation with emerging technologies and approaches to big data and analytics. Heat map Heat map generated from DNA microarray data reflecting gene expression values in several conditions Heat maps originated in 2D displays of the values in a data matrix. Larger values were represented by small dark gray or black squares (pixels) and smaller values by lighter squares.

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