RCOMM 2010: Rapid Miner Conference

Vikramaditya Jakkula — Sat, 17 Jul 2010 03:14:24 +0000

RapidMiner Community Meeting And Conference – RCOMM 2010

As RapidMiner has once again proved to be the most-used open source data mining tool among the community of data analysts world-wide in a recent poll, it is now the time to give a face to that community. Therefore, Rapid-I hosts the first RapidMiner Community Meeting And Conference (RCOMM 2010) and invites users and developers of RapidMiner to take part and share their RapidMiner experiences with other members of the community. The RCOMM 2010 intends to intensify the community life and strengthen the RapidMiner network by bringing together users and developers of RapidMiner from all backgrounds, may they be scientific or commercial, from the whole variety of applications and from all grades of knowledge. A vital exchange of ideas, application reports, and scientific results will help beginners to advance and will inspire the already advanced leading them to professionalism. Users will profit from in-depth knowledge of developers, who in turn will gain from picking up requirements and ideas for further development.

The RCOMM 2010 encompasses conference talks, in which invited lecturers will discuss aspects of state-of-the-art data mining with RapidMiner. A Call-for-Papers will be issued for those who would like to present their work in that scope. Workshops will be held to give participants a hands-on experience concerning several topics regarding RapidMiner usage. Additionally, attendees of the RCOMM 2010 will also have the option to participate in several courses given by professional RapidMiner consultants in the surrounding of the user meeting.

Dates & Deadlines:

Submission Deadline:August 6, 2010

Notification of Acceptance:August 13, 2010

Camera-ready Papers:August 20, 2010

Conference: September 13 – 16, 2010

Visit Conference Home: RCOMM
Registration Link: Registration
Schedule Link: Schedule

AI & Home

Vikramaditya Jakkula — Wed, 14 Jul 2010 07:37:12 +0000

Microsoft Research displayed some latest AI software developed by them. The focus was on AI @ home; the software displayed used different kinds of machine learning techniques, where computer software is able to learn how to carry out tasks that are useful to people without having to be programmed to perform that exact task.

[Read Silicon]

DARPA pushing machine learning into electronic warfare

Vikramaditya Jakkula — Wed, 14 Jul 2010 07:17:41 +0000

Behavioral Learning for Adaptive Electronic Warfare (BLADE) program under DARPA is developing algorithms and techniques to enable U.S. electronic warfare systems to learn to jam new RF threats automatically in the field, instead of waiting for technicians in laboratories to characterize new communications threats and develop countermeasures. This is a clear sign of advancing intelligent technology in electronic warfare.

[Read MilitaryAeroSpace & BLADE]

Home Robotics: Beer Robots

Vikramaditya Jakkula — Mon, 12 Jul 2010 11:05:06 +0000

Willow Garage developed what we can call as a “Beer Robot“: a robot that will not only grab a beer and bring it to you, but will also recognize your face and your preferred beer. The Robot can fetch the beer as well as open it and make it ready for consumption. Let us see the robot in action now:

Watson! Dear Watson!

Vikramaditya Jakkula — Tue, 22 Jun 2010 05:06:37 +0000

For the last few years, IBM scientists have been developing the most advanced “question answering” machine, able to understand a question posed by the user, and is expected to respond with a precise answer. In other words, it must do more than what search engines like Google and Bing do, which is merely point to a set of results where you might find the answer. But Watson has to give the correct answer itself. Lets look at Watson in a trivia challenge:

[ MSNBC ]

Data Mining Enthusiasts can pursue Master’s Degree in Predictive Analytics

Vikramaditya Jakkula — Tue, 22 Jun 2010 04:27:55 +0000

DePaul University is now offering the first master’s degree in predictive analysis, the school announced on Wednesday in conjunction with IBM, which will provide resources for the program.The program aims to teach students the technical skills to do computer-based data mining, including advanced data analysis and the ability to handle large data sets. We note that an increasing number of other U.S. universities are offering advanced degrees or certificates in data mining, including Central Connecticut State University, the University of Central Florida, and Stanford University.However, DePaul is the first to offer in predictive analytics.

[Read PC World]

Educational Data Mining

Vikramaditya Jakkula — Tue, 22 Jun 2010 04:20:03 +0000

Even today Education stands on the list of grand challenges of the 21st century. There are two major areas which cover the breadth(involves reaching broader audience with common goals, and rising literacy level across the globe) and depth(effective and clear learning) of the challenges in education. Carnegie Mellon University played host to the conferences on the use of computers in education. Educational data mining is all about using data gathered from educational services or tools(includes user data or student data), and mine it to find knowledge which when applied would aid the user with better service offering(improved learning or faster efficient learning).

The Third International Conference on Educational Data Mining (EDM2010), which was held June 11-13, and the10th International Conference on Intelligent Tutoring Systems (ITS2010), June 14-18 were held on carnegie mellon campus. The conferences are a clear sign that the educational data mining is emerging into a strong research area.

[Read Dr. Dobbs]

Machine Learning School 2010 Proceedings Available

Vikramaditya Jakkula — Tue, 22 Jun 2010 02:18:48 +0000

The machine learning school 2010 conducted in Bangalore,India appears to be a success. The proceedings are now made available.

Download:

Associative Rule Mining
Graphical Models 1
Graphical Models 2
Graphical Models 3
Gaussian Processes
ML Introduction
Privacy Preserving Mining
Support Vector Machines

Machine Learning Summer School – June 14,16 2010, Bangalore, India

Vikramaditya Jakkula — Fri, 11 Jun 2010 11:26:56 +0000

Machine Learning Summer School 2010’ will be hosted from June 14 – 19, 2010 at IISc Bangalore, from Yahoo! India Research & Development, in partnership with the Indian Institute of Science (IISc) Bangalore. This summer school is targeted towards academia as well as industry with a focus to deliver practical learning with or without machine learning exposure.

Schedule:

Jun-14 (morning)	Nando De Freitas/Alex Smola Introduction to ML/Graphical Models
Jun-14 (afternoon)	Nando De Freitas Gaussian Processes
Jun-15 (morning)	Chiru Bhattacharyya Support Vector Machines
Jun-15 (afternoon)	Alex Smola Graphical Models and Kernels
Jun-16 (morning)	Jayant Haritsa Association Rule Mining
Jun-16 (afternoon)	Chiru Bhattacharyya Kernel Methods
Jun-17 (morning)	Nando De Freitas Bayesian Optimization
Jun-17 (afternoon)	Jayant Haritsa Privacy Preserving Mining
Jun-18 (morning)	John Langford Transformation of learning problem
Jun-18 (afternoon)	John Langford Learning in contextual bandit settings
Jun-19 (morning)	Deepak Agarwal Recommender problems: matrix factorization
Jun-19 (afternoon)	Deepak Agarwal Recommender problems: multi-resolution models

More details visit :http://bangalore.yahoo.com/labs/summerschool.html

IBM upgrades SPSS data mining software

Vikramaditya Jakkula — Fri, 14 May 2010 13:54:34 +0000

IBM updates its SPSS suite with better social media analysis features and enhanced its text mining features too.According to IBM, this changes should allows customers to directly access text, web and survey data and integrate it into predictive models for helping meet there business needs in a better manner.

[Computer Business Review]