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Nice JavaScript library for visualization
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D3.js is a small, free JavaScript library for manipulating documents based on data.
"Cube is an open-source system for visualizing time series data, built on MongoDB, Node and D3. If you send Cube timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals:"
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Cube is an open-source system for visualizing time series data, built on MongoDB, Node and D3. If you send Cube timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals:
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Traffic Server is fast, scalable and extensible HTTP/1.1 compliant caching proxy server. Formerly a commercial product (created by Inktomi, later acquired by Yahoo!), it is now being developed as an Apache Incubator Project
These lectures give an introduction to data clustering: we discuss a few algorithms, but also look at theoretical questions related to clustering.
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These lectures give an introduction to data clustering: we discuss a few algorithms, but also look at theoretical questions related to clustering.
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LiveCD for Android running on x86 platforms
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The LaTeX beamerposter package was created by Philippe Dreuw and Thomas Deselaers. It is an extension of the LaTeX beamer and the a0poster classes in order to create LaTeX posters, e.g. a DIN-A0 size LaTeX poster in landscape or portrait orientation. Furthermore it is possible to scale the poster fonts to your needs
This is a collection of words of wisdom on the fraught topic of producing conference posters using LaTeX. It's not bulletproof advice, but should get you started.
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This is a collection of words of wisdom on the fraught topic of producing conference posters using LaTeX. It's not bulletproof advice, but should get you started.
A Wiki for Calls For Papers
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A Wiki for Calls For Papers
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The GP-you Group develops high-level software tools to easily access the parallel computing capabilities of the GPUs from different platforms.
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This year's contest consists of two classification tasks based on e-commerce transaction anomaly data. The first task is to maximize accuracy of binary classification on a test data set, given a fully labeled training data set. The performance metric is the lift at 20% review rate. The second task is similar to task 1, but provides a couple of additional fields that have potential predictive information.
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