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NANOCUBES.NET

Nanocubes®

Fast visualization of large spatiotemporal datasets. Technology provides you with real-time visualization of large datasets. Slice and dice your data with respect to space, time, or some of your data attributes, and view the results in real-time on a web browser over heatmaps, bar charts, and histograms. We've used it for tens of billions. Of data points: maybe you can push it even farther! How does it work. Lukas Scharlau ( FH Münster University of Applied Sciences. Try the live demos! All of these data...

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Nanocubes® | nanocubes.net Reviews
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Fast visualization of large spatiotemporal datasets. Technology provides you with real-time visualization of large datasets. Slice and dice your data with respect to space, time, or some of your data attributes, and view the results in real-time on a web browser over heatmaps, bar charts, and histograms. We've used it for tens of billions. Of data points: maybe you can push it even farther! How does it work. Lukas Scharlau ( FH Münster University of Applied Sciences. Try the live demos! All of these data...
<META>
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1 nanocubes
2 the nanocubes
3 papers
4 live demos
5 interested
6 tablet friendly version
7 open source
8 team
9 lauro lins
10 james klosowski
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nanocubes,the nanocubes,papers,live demos,interested,tablet friendly version,open source,team,lauro lins,james klosowski,carlos scheidegger,awards,in the news,here's how,acknowledgments,bootstrap tour,jquery,underscore js,openstreetmap,leaflet js,and lux
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Nanocubes® | nanocubes.net Reviews

https://nanocubes.net

Fast visualization of large spatiotemporal datasets. Technology provides you with real-time visualization of large datasets. Slice and dice your data with respect to space, time, or some of your data attributes, and view the results in real-time on a web browser over heatmaps, bar charts, and histograms. We've used it for tens of billions. Of data points: maybe you can push it even farther! How does it work. Lukas Scharlau ( FH Münster University of Applied Sciences. Try the live demos! All of these data...

LINKS TO THIS WEBSITE

yenchic.wordpress.com yenchic.wordpress.com

Data Visualization and Statistics – Empirical Filtration

https://yenchic.wordpress.com/2015/01/24/data-visualization-and-statistics

A collection of random thoughts. Data Visualization and Statistics. Data visualization (and information visualization) is now a hot and important topic in both academics and industry. Statistics and data visualization can have more interplay. With proper cooperation, statistics and data visualization can help solving problems from each other. The following two papers are examples for combining data visualization and statistics:. 2011) URL: http:/ www.jstatsoft.org/v50/i02/paper. 2 Chen, Yen-Chi, Christop...

pannoniancoder.blogspot.com pannoniancoder.blogspot.com

Pannonian Coder: Nanocube feeder in Java, part 1

http://pannoniancoder.blogspot.com/2015/01/nanocube-feeder-in-java-part-1.html

Wednesday, January 21, 2015. Nanocube feeder in Java, part 1. For some time I've been sporadically following Nanocube project. Note - this post is based on nanocube version 3.1. Currently provided way to feed data into nanocube is via python command line tool - nanocube-binning-csv.py. Biggest portion of my feeder would be DMP encoder which would convert input data, given as plain java objects, into DMP format required by nanocube server. Since documentation about DMP format is somewhat scarce, the e...

cscheid.net cscheid.net

Wheels of reincarnation, or 2014: where everything old is new again, and vice-versa (as usual)

https://cscheid.net/2014/12/29/the-wheel-of-reincarnation.html

A HALF-ASSEDLY THOUGHT OUT PICTORIAL SEMI-VISION THING. Wheels of reincarnation, or 2014: where everything old is new again, and vice-versa (as usual). Year-end post, incoming! Things that cycle are fun to think about. If something behaves periodically, then you can make interesting predictions about its behavior long into the future (and also long into the past). Turns out these cycles show up all over the place, and thinking about them gives me an excuse to think about this year in vis. It’s hard not t...

cscheid.net cscheid.net

VIS 2013: Hello there

https://cscheid.net/2013/10/14/vis-2013-hello-there.html

A HALF-ASSEDLY THOUGHT OUT PICTORIAL SEMI-VISION THING. VIS 2013: Hello there. Good morning from Atlanta! This week holds the largest academic visualization conference of the year, with about 1,000 people all interested in understanding and creating meaningful and beautiful visual depictions of data. What’s not to like? Although the conference proper only starts tomorrow, there are interesting satellite events today. The two big associated symposia are BioVis. Khoa Tan Nguyen and Timo Ropinski. ( PDF.

yenchic.wordpress.com yenchic.wordpress.com

yenchic – Empirical Filtration

https://yenchic.wordpress.com/author/yenchic

A collection of random thoughts. In statistics and probability theory, independence is a power condition for two random variables. For two random variables X and Y, they are independent if knowing X will not change the probability distribution of Y (and vice versa). Now let’s talk about something about statistics–test for independence. Given pairs of observations, say (X 1, Y 1), … ,(X n, Y n) that are random sample (IID). To goal is to test if the pair (X, Y) are independent to...Pearson’s method ...

pannoniancoder.blogspot.com pannoniancoder.blogspot.com

Pannonian Coder: January 2015

http://pannoniancoder.blogspot.com/2015_01_01_archive.html

Monday, January 26, 2015. Nanocube feeder in Java, part 2. Continuing on the previous post. Where we prepared DMP encoder, we now want to see how can we use it to encode and stream the data into Nanocube. And because Nanocube process uses standard input for data provision, we have to first start the process in order to obtain that input stream. To read that output and print it via some logging framework used in our java application (here plain java.util.logging. Private static void startNanocubeOutputLog...

stats.research.att.com stats.research.att.com

AT&T Labs - Statistics Research

http://stats.research.att.com/employment.php

AT&T Labs - Statistics Research. In AT&T Labs' Big Data Research organization, we develop new methods for analyzing massive data sets to learn about our network and our customers, and to improve services and operations. We are a pioneer in big data technologies developing novel methodologies for statistical computing, event prediction, fraud detection, visualization, text mining, data stream management, data quality and anomaly detection, and privacy preserving measures such as data anonymization. AT&T i...

research.att.com research.att.com

AT&T Labs Research - Information Visualization - Projects

http://www.research.att.com/areas/visualization/projects_software/graphviz.php

AT&T Researchers — Inventing the Science Behind the Service. Data exploration and discovery often begins with "seeing all the data." Effective overviews reveal clusters, gaps, outliers, trends, correlations and other patterns that merit further consideration. But when we have hundreds of millions of points on a map, how can we see "everything"? How can we discover structure and meaning in large sets of geospatial tracks? In 2007, Jae-Gil Lee, Jiawei Han and Kyu-Young Whang from the University of Illinois...

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Nanocubes®

Fast visualization of large spatiotemporal datasets. Technology provides you with real-time visualization of large datasets. Slice and dice your data with respect to space, time, or some of your data attributes, and view the results in real-time on a web browser over heatmaps, bar charts, and histograms. We've used it for tens of billions. Of data points: maybe you can push it even farther! How does it work. Lukas Scharlau ( FH Münster University of Applied Sciences. Try the live demos! All of these data...

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Digital Dashboards and BI. About Nano Cube Technologies. We are an ERP Software Solutions provider to companies of all sizes and domains. We provide ERP Solutions worldwide. We are engaged in providing Pre implementation. Nano Cube Technologies helps to integrate organizational systems which leads to improved data entry, an incorporation of best practices and a streamlined. BIG - DATA Applications. Digital Dashboards and BI. Digital Dashboards and BI. Dr, Frankfort, Ky 40601.

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