Tag: online

Contribution to #Rstats by Revolution

I have been watching for Revolution Analytics product almost since the inception of the company. It has managed to sail over storms, naysayers and critics with simple and effective strategy of launching good software, making good partnerships and keeping up media visibility with white papers, joint webinars, blogs, conferences and events.

However this is a listing of all technical contributions made by Revolution Analytics products to the #rstats project.

1) Useful Packages mostly in parallel processing or more efficient computing like

 

2) RevoScaler package to beat R’s memory problem (this is probably the best in my opinion as it is yet to be replicated by the open source version and is a clear cut reason for going in for the paid version)

http://www.revolutionanalytics.com/products/enterprise-big-data.php

  • Efficient XDF File Format designed to efficiently handle huge data sets.
  • Data Step Functionality to quickly clean, transform, explore, and visualize huge data sets.
  • Data selection functionality to store huge data sets out of memory, and select subsets of rows and columns for in-memory operation with all R functions.
  • Visualize Large Data sets with line plots and histograms.
  • Built-in Statistical Algorithms for direct analysis of huge data sets:
    • Summary Statistics
    • Linear Regression
    • Logistic Regression
    • Crosstabulation
  • On-the-fly data transformations to include derived variables in models without writing new data files.
  • Extend Existing Analyses by writing user- defined R functions to “chunk” through huge data sets.
  • Direct import of fixed-format text data files and SAS data sets into .xdf format

 

3) RevoDeploy R for  API based R solution – I somehow think this feature will get more important as time goes on but it seems a lower visibility offering right now.

http://www.revolutionanalytics.com/products/enterprise-deployment.php

  • Collection of Web services implemented as a RESTful API.
  • JavaScript and Java client libraries, allowing users to easily build custom Web applications on top of R.
  • .NET Client library — includes a COM interoperability to call R from VBA
  • Management Console for securely administrating servers, scripts and users through HTTP and HTTPS.
  • XML and JSON format for data exchange.
  • Built-in security model for authenticated or anonymous invocation of R Scripts.
  • Repository for storing R objects and R Script execution artifacts.

 

4) Revolutions IDE (or Productivity Environment) for a faster coding environment than command line. The GUI by Revolution Analytics is in the works. – Having used this- only the Code Snippets function is a clear differentiator from newer IDE and GUI. The code snippets is awesome though and even someone who doesnt know much R can get analysis set up quite fast and accurately.

http://www.revolutionanalytics.com/products/enterprise-productivity.php

  • Full-featured Visual Debugger for debugging R scripts, with call stack window and step-in, step-over, and step-out capability.
  • Enhanced Script Editor with hover-over help, word completion, find-across-files capability, automatic syntax checking, bookmarks, and navigation buttons.
  • Run Selection, Run to Line and Run to Cursor evaluation
  • R Code Snippets to automatically generate fill-in-the-blank sections of R code with tooltip help.
  • Object Browser showing available data and function objects (including those in packages), with context menus for plotting and editing data.
  • Solution Explorer for organizing, viewing, adding, removing, rearranging, and sourcing R scripts.
  • Customizable Workspace with dockable, floating, and tabbed tool windows.
  • Version Control Plug-in available for the open source Subversion version control software.

 

Marketing contributions from Revolution Analytics-

1) Sponsoring R sessions and user meets

2) Evangelizing R at conferences  and partnering with corporate partners including JasperSoft, Microsoft , IBM and others at http://www.revolutionanalytics.com/partners/

3) Helping with online initiatives like http://www.inside-r.org/ (which is curiously dormant and now largely superseded by R-Bloggers.com) and the syntax highlighting tool at http://www.inside-r.org/pretty-r. In addition Revolution has been proactive in reaching out to the community

4) Helping pioneer blogging about R and Twitter Hash tag discussions , and contributing to Stack Overflow discussions. Within a short while, #rstats online community has overtaken a lot more established names- partly due to decentralized nature of its working.

 

Did I miss something out? yes , they share their code by GPL.

 

Let me know by feedback

Chrome

If you are new to using Chrome, there are many delightful features just beneath the surface.

If you are an Internet Explorer or Firefox or Safari or Arora or Opera or Sea Monkey browser user- this is one more reason to test, just test Chrome.

Ok so who Made chrome- (note the link i.e about:credits is what you type in chrome to see features)

about:credits

Credits

David M. Gay’s floating point routines
dynamic annotations
Netscape Portable Runtime (NSPR)
Network Security Services (NSS)
purify headers
google-glog’s symbolization library
valgrind
xdg-mime
xdg-user-dirs
google-jstemplateshow licensehomepage
Launchpad Translationsshow licensehomepage
Mozilla Personal Security Managershow licensehomepage
Google Toolbox for Macshow licensehomepage
ActiveX Scripting SDKshow licensehomepage
Almost Native Graphics Layer Engineshow licensehomepage
Apple sample codeshow licensehomepage
Google Cache Invalidation APIshow licensehomepage
Compact Language Detectionshow licensehomepage
OpenGL ES 2.0 Programming Guideshow licensehomepage
OpenGL ES 2.0 Conformance Testsshow licensehomepage
hunspell dictionariesshow licensehomepage
IAccessible2 COM interfaces for accessibilityshow licensehomepage
Chinese and Japanese Word Listshow licensehomepage
ISimpleDOM COM interfaces for accessibilityshow licensehomepage
modp base64 decodershow licensehomepage
NSBezierPath additions from Sean Patrick O’Brienshow licensehomepage
Cocoa extension code from Caminoshow licensehomepage
OTS (OpenType Sanitizer)show licensehomepage
Google Safe Browsingshow licensehomepage
XUL Runner SDKshow licensehomepage
and of course
so thats who made chrome.
  • Will Google be able to monetize Chrome the way it has monetized Android (Atleast by locking in both search,computing and browsing platforms)? I like the Adblock extension- and I would be happy to see more paid extensions. or even two versions one free and other freer (in choice) browsers for ads /security etc. maybe even a premium paid browser which has tor embedded in it , adblock enabled in it, and encrypted chat (like Waste Again) as an extension…. Hmm Hmm Hmm There is a SOCIAL version of Chromium called Rockmelt used ironically by Google Social Nemesis -Facebook (see http://blogs.ft.com/fttechhub/2011/06/facebook-partners-with-rockmelt-on-building-a-social-web-browser/)
  • Will Google share more revenue with open source contributors and thus create a new path in open source revenue generation just like it did with online advertising as an industry? Hmm Hmm Hmm. or Will Facebook continue to lead the way with extensions and applications (which did predate the mobile app place- so thats one innovation u gotta give to Zuk’s boys 😉
Back to Chrome-
To change settings- chrome://settings/browser
but to check what Autofill Data is stored within chrome (thats your credit card and your web form information)
chrome://settings/autofill and chrome://settings/content has all your content settings
Well Chrome is very very secure, or as secure as a browser can be in 2011.
You can set up Google Sync to keep all your data in the cloud, and it has an application specific password as well.
So hopefully you will have much more fun enjoying hacking Chromium 😉
See these

Where to complain for internet crime?

So did you get tricked or hacked, or phished or someone broke into your system.

What to do?

Ic3 posterhttp://static.slidesharecdn.com/swf/doc_player.swf?doc=ic3-poster-110614000132-phpapp01&stripped_title=ic3-poster-8299880&userName=0hr1

//

From

https://mail.google.com/support/bin/answer.py?hl=en&answer=190735

Impersonation

If you believe someone has created a Gmail address in an attempt to impersonate your identity, you may wish to file a report with the Internet Crime Complaint Center (www.ic3.gov), a partnership between the Federal Bureau of Investigation and the National White Collar Crime Center.

In addition, we recommend contacting your state’s Office of Consumer Protection.

Gmail is unable to participate in mediations involving third parties regarding impersonation. To read the Gmail Terms of Use, please visit: http://gmail.google.com/gmail/help/terms_of_use.html.

 

AND

 

http://www.ic3.gov/default.aspx

Welcome to IC3

The Internet Crime Complaint Center (IC3) is a partnership between theFederal Bureau of Investigation (FBI), the National White Collar Crime Center (NW3C), and the Bureau of Justice Assistance (BJA).

IC3’s mission is to serve as a vehicle to receive, develop, and refer criminal complaints regarding the rapidly expanding arena of cyber crime. The IC3 gives the victims of cyber crime a convenient and easy-to-use reporting mechanism that alerts authorities of suspected criminal or civil violations. For law enforcement and regulatory agencies at the federal, state, local and international level, IC3 provides a central referral mechanism for complaints involving Internet related crimes. read more >>

Filing a Complaint with IC3

IC3 accepts online Internet crime complaints from either the person who believes they were defrauded or from a third party to the complainant. We can best process your complaint if we receive accurate and complete information from you. Therefore, we request that you provide the following information when filing a complaint:

  • Your name
  • Your mailing address
  • Your telephone number
  • The name, address, telephone number, and Web address, if available, of the individual or organization you believe defrauded you.
  • Specific details on how, why, and when you believe you were defrauded.
  • Any other relevant information you believe is necessary to support your complaint.

File a Complaint Now>>

 

Predictive Analytics World

Here is an announcement from Predictive Analytics World, the worlds largest vendor neutral conference dedicated to Predictive Analytics alone. Decisionstats has been a blog partner of PAWCON since inception. This is cool stuff!Predictive Analytics World New York October 2011

Video Testimonials: Reasons to Attend Predictive Analytics World Oct 2011, NY  

What’s Predictive Analytics World (PAW) all about and why should you go? See and hear experiences from those who have attended PAW. The video recorded at PAW San Francisco 2011 includes statements from Thomas Davenport, conference chair Eric Siegel, and other conference participants and VIPs.

 

Join your peers October 17-21, 2011 at the Hilton New York for Predictive Analytics World, the business event for predictive analytics professionals, managers and commercial practitioners, covering today’s commercial deployment of predictive analytics, across industries and across software vendors.

Register using the code REDC before June 15th and 10% of your registration proceeds will be donated to American Red Cross Midwest Tornado Relief Effort. Also, take advantage of Super Early Bird Pricing and realize $400 in savings.

Discover new content covering all the latest topics and advanced methods by participating in PAW’s workshops, case studies, and educational sessions.   View full agenda and topics online now.

PAW NYC agenda highlights include:

  • Keynotes from Tom Davenport, President’s Distinguished Professor, Babson College, Author, Competing on Analytics and Eric Siegel,  Conference Program Chair, Predictive Analytics World
  • Special plenary sessions from industry heavyweights, Usama Fayyad, Ph.D., CEO, Open Insights and John F. Elder, CEO and Founder, Elder Research
  • Full day workshops that cover the topics of Decisioning, Core Methods, Net Lift Modeling, Hands-On Intro, Hands-On R, Intro to Predictive Analytics and Intro to Business Analytics
  • Topics covering black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways.
Thomas Davenport
Thomas Davenport
Author, Competing on Analytics		 Eric Siegel, Ph.D
VIP from IBM Research (TBA)
Keynote on Jeopardy-Winning Watson and DeepQA		 Eric Siegel, Ph.D
Eric Siegel, Ph.D
Program Chair, Predictive Analytics World
Usama Fayyad, Ph.D
Usama Fayyad, Ph.D
CEO, Open Insights		 John F. Elder IV, Ph.D
John F. Elder IV, Ph.D
Chief Scientist, Elder Research, Inc.

Become an invaluable resource to your organization by discovering new processes and tactics that your peers are using to optimize with the best methods that leverage data – bringing their business results to the next level.

New Financial Services Track — You Asked and We Delivered

October’s event will include a new conference track of sessions dedicated to the Financial Services industry. This track will feature something for users of all levels, whether you’re deploying your first initiative or learning new ways to position analytics within your organization.

Text analytics. The new conference Text Analytics World,
co-located with PAW NYC, complements PAW’s agenda
with reasonable cross-registration options.

Take advantage of Super Early Bird Pricing and realize
$400 in savings before June 15, 2011.

Note:  Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

eMetrics New York
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Register Now!
All Analytics Conferences: 

Predictive Analytics World for Government – Sept 12-13 in DC
Predictive Analytics World NYC – Oct 17-21
Text Analytics World NYC – Oct 19-20
Predictive Analytics World San Francisco – March 2012
Predictive Analytics World Videos – Available on-demand
Produced by: 

Predictionimpact
RisingMedia

 

RapidMiner launches extensions marketplace

For some time now, I had been hoping for a place where new package or algorithm developers get at least a fraction of the money that iPad or iPhone application developers get. Rapid Miner has taken the lead in establishing a marketplace for extensions. Is there going to be paid extensions as well- I hope so!!

This probably makes it the first “app” marketplace in open source and the second app marketplace in analytics after salesforce.com

It is hard work to think of new algols, and some of them can really be usefull.

Can we hope for #rstats marketplace where people downloading say ggplot3.0 atleast get a prompt to donate 99 cents per download to Hadley Wickham’s Amazon wishlist. http://www.amazon.com/gp/registry/1Y65N3VFA613B

Do you think it is okay to pay 99 cents per iTunes song, but not pay a cent for open source software.

I dont know- but I am just a capitalist born in a country that was socialist for the first 13 years of my life. Congratulations once again to Rapid Miner for innovating and leading the way.

http://rapid-i.com/component/option,com_myblog/show,Rapid-I-Marketplace-Launched.html/Itemid,172

RapidMiner, Marketplace, Extensions 30 May 2011
Rapid-I Marketplace Launched by Simon Fischer

Over the years, many of you have been developing new RapidMiner Extensions dedicated to a broad set of topics. Whereas these extensions are easy to install in RapidMiner – just download and place them in the plugins folder – the hard part is to find them in the vastness that is the Internet. Extensions made by ourselves at Rapid-I, on the other hand,  are distributed by the update server making them searchable and installable directly inside RapidMiner.

We thought that this was a bit unfair, so we decieded to open up the update server to the public, and not only this, we even gave it a new look and name. The Rapid-I Marketplace is available in beta mode at http://rapidupdate.de:8180/ . You can use the Web interface to browse, comment, and rate the extensions, and you can use the update functionality in RapidMiner by going to the preferences and entering http://rapidupdate.de:8180/UpdateServer/ as the update server URL. (Once the beta test is complete, we will change the port back to 80 so we won’t have any firewall problems.)

As an Extension developer, just register with the Marketplace and drop me an email (fischer at rapid-i dot com) so I can give you permissions to upload your own extension. Upload is simple provided you use the standard RapidMiner Extension build process and will boost visibility of your extension.

Looking forward to see many new extensions there soon!

Disclaimer- Decisionstats is a partner of Rapid Miner. I have been liking the software for a long long time, and recently agreed to partner with them just like I did with KXEN some years back, and with Predictive AnalyticsConference, and Aster Data until last year.

I still think Rapid Miner is a very very good software,and a globally created software after SAP.

Here is the actual marketplace

http://rapidupdate.de:8180/UpdateServer/faces/index.xhtml

Welcome to the Rapid-I Marketplace Public Beta Test

The Rapid-I Marketplace will soon replace the RapidMiner update server. Using this marketplace, you can share your RapidMiner extensions and make them available for download by the community of RapidMiner users. Currently, we are beta testing this server. If you want to use this server in RapidMiner, you must go to the preferences and enter http://rapidupdate.de:8180/UpdateServer for the update url. After the beta test, we will change the port back to 80, which is currently occupied by the old update server. You can test the marketplace as a user (downloading extensions) and as an Extension developer. If you want to publish your extension here, please let us know via the contact form.

Hot Downloads
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[Icon]The Image Processing Extension provides operators for handling image data. You can extract attributes describing colour and texture in the image, you can make several transformation of a image data which allows you to perform segmentation and detection of suspicious areas in image data.The extension provides many of image transformation and extraction operators ranging from Wavelet Decomposition, Hough Circle to Block Difference of Inverse probabilities.
[Icon]RapidMiner is unquestionably the world-leading open-source system for data mining. It is available as a stand-alone application for data analysis and as a data mining engine for the integration into own products. Thousands of applications of RapidMiner in more than 40 countries give their users a competitive edge.

  • Data Integration, Analytical ETL, Data Analysis, and Reporting in one single suite
  • Powerful but intuitive graphical user interface for the design of analysis processes
  • Repositories for process, data and meta data handling
  • Only solution with meta data transformation: forget trial and error and inspect results already during design time
  • Only solution which supports on-the-fly error recognition and quick fixes
  • Complete and flexible: Hundreds of data loading, data transformation, data modeling, and data visualization methods
[Icon]All modeling methods and attribute evaluation methods from the Weka machine learning library are available within RapidMiner. After installing this extension you will get access to about 100 additional modelling schemes including additional decision trees, rule learners and regression estimators.This extension combines two of the most widely used open source data mining solutions. By installing it, you can extend RapidMiner to everything what is possible with Weka while keeping the full analysis, preprocessing, and visualization power of RapidMiner.
[Icon]Finally, the two most widely used data analysis solutions – RapidMiner and R – are connected. Arbitrary R models and scripts can now be directly integrated into the RapidMiner analysis processes. The new R perspective offers the known R console together with the great plotting facilities of R. All variables and R scripts can be organized in the RapidMiner Repository.A directly included online help and multi-line editing makes the creation of R scripts much more comfortable.
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