» Tools

Radoop

Vikramaditya Jakkula — Mon, 25 Jul 2011 08:51:41 +0000

Hadoop is an excellent tool for analyzing large data sets, but it lacks an easy-to-use graphical interface. RapidMiner is an excellent tool for data analytics, but its data size is limited by the memory available, and a single machine is often not enough to run the analyses on time. In this project, we combine the strengths of both projects and provide a RapidMiner extension for editing and running ETL, data analytics and machine learning processes over Hadoop.

Apply for Beta Today!

RapidAnalytics released at OSBI 2010

Vikramaditya Jakkula — Wed, 01 Dec 2010 23:44:55 +0000

Rapid-I now releases the first open source solution for business analytics. The process-oriented approach of RapidMiner and RapidAnalytics allows the direct and even real-time integration into business processes.

For more visit:

http://rapid-i.com/content/view/267/1/

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]

Future Technology Research from Intel on Display

Vikramaditya Jakkula — Fri, 14 May 2010 11:45:43 +0000

Photo by James Martin/CNET

Future Technologies Group, part of Intel Labs, are researchers who research into technology which humans could use in the future. Recently they did conduct a display of some of the ongoing research, which is more like a open house event. Some interesting next generation projects are as follows:

Highly accurate facial-recognition system
Personal energy system
Interactive Digital Aura
ClassmateAssist
Summarize (Text to Speech Software)
Augmented Image Reality

[More at CNET]

AR Drone can be flown with an iPhone

Vikramaditya Jakkula — Fri, 07 May 2010 11:33:34 +0000

Now we know iPhone can be used to fly drones. Yes, AR Drone has consumer plan. The AR Drone has four propellers, two cameras, and can be flown with an iPhone.

Watch now:

[IEEE Blog]

SAS offers FREE software for college statistical enthusiasts

Vikramaditya Jakkula — Sun, 18 Apr 2010 15:49:50 +0000

Are you a stat’s fan?, then pick up your copy of SAS for free starting this fall at your university!

On-Demand for Academics is an online program for teaching and learning data management and analytics. It allows professors and students to use several applications, including SAS Enterprise Guide and SAS Enterprise Miner for free. More applications may be added in the near future. Is SAS Institue following in the foot steps of software giants?, its something which we should wait and watch!

[Bizjournals]

SAS leading the way in social media data mining with new tool offering

Vikramaditya Jakkula — Sun, 18 Apr 2010 15:11:19 +0000

Recently, we did read about large corporations using data mining especially partnering with social networking sites to improve there product offering. Yes, social data is now a valuable commodity. Facebook, Twitter and other online forums, provides a rich source of user sentiment, which is of immense value. Today companies are building tools which would help make sense of the data. Once such tool in focus is SAS Social Media Analytics by SAS Institute.

SAS Institute, the leader in advanced business intelligence and data analytics software, thinks it can do better. It is introducing a software service on Monday called SAS Social Media Analytics that analysts say seems to represent a step ahead in social media analysis tools.

[Read more New York Times]

Machine Learning at Stanford University

vinayak — Sun, 28 Mar 2010 11:34:09 +0000

This time we bring to you an online video tutorial on CS 229: Machine Learning course from Stanford University. Besides 19 Lectures on machine learning you will be provided with relevant lecture notes, links other related miscellaneous stuff . Professor Andrew Ng will introduce machine learning and statistical pattern recognition which will cover topics like supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Other applications of machine learning, such as to robotic control, data mining, autonomous navigation, bio informatics, speech recognition, and text and web data processing are also discussed.

This was the first lecture:- (course materials) The first 30 minutes or so of this lecture is introduction to the course and the field of machine learning in general.

In the rest of the lecture, the four main parts of the course is described in some detail along with illustrative examples :-Supervised learning: providing the algorithm a data set, supervising- learn the association between input & output, regression problems, classification problems, support vector machines- infinite number of features
Learning theory
Unsupervised learning: clustering, Cocktail party problem, independent component analysis Reinforcement learning: reward function (good dog, bad dog), feedback function

In the second lecture, Professor Andrew Ng will cover topics like linear regression, gradient descent, and normal equations and discusses how they relate to machine learning.

For more visit the home page: http://cs229.stanford.edu/

Data Analysis Platform for Drug Discovery & Development

Vikramaditya Jakkula — Fri, 19 Mar 2010 15:02:56 +0000

Genedata, announced Genedata Analyst, an integrated statistical and data analysis platform with advanced visualization capabilities.Built on client-server architecture, Genedata Analyst handles huge and complex data sets of billion-plus data points while supporting small research groups or hundreds of users. Simultaneously managing data from different sources, Genedata Analyst gives researchers and biostatisticians a secure and scalable data-mining platform, which can be tightly integrated with existing research IT ecosystems.

Features (Selected):

Enhanced Usability enabling non-expert users to access
High Scalability processes large and complex datasets
Advanced Visualization
Tools such as ANOVA, linear models, Principal Components and Partial Least Square analysis, Self-Organizing Maps (SOM) and clustering methods

About Genedata
Genedata transforms data into intelligence with a portfolio of advanced software solutions for drug discovery and life science research, which spans target, lead and biomarker discovery. Used by a majority of the world’s top 50 pharmaceutical companies and leading research organizations, Genedata Phylosopher®, Genedata Screener®, Genedata Expressionist®, and Genedata Analyst™ make research data accessible and understandable, enabling scientific discovery that fights disease and improves health worldwide. Founded in 1997, Genedata is privately held, with headquarters in Basel, Switzerland, and offices in Japan, Germany and the US. www.genedata.com

[GeneData]

Leafnode, The ‘game’ based on behavioral modelling

vinayak — Fri, 19 Mar 2010 14:14:55 +0000

San Francisco and New York City based organization , Turiya Media , focuses on optimizing online games. The company enables game publishers to proactively identify and retain their best customers, and target them with personalized recommendations. To stake a claim in the online gaming market it announced the launch of its Leafnode product on 10th March 2010. This product is based on data mining and analyzing behavioral data. This technique helps game publishers to retain and monetize their customers.

The problem is that the online gamers spend a lot of time interacting with games, but publishers have limited access and visibility into what motivates their customers and how best to monetize them. This is the main focus of the company’s Leafnode product. As a solution to this problem , this product will track hours of logged time by individual players and create individual behavioral profiles by using advanced predictive algorithms.

[Venture Beat]