Posts Tagged ‘news’

Tweet-o-Meter is fun

Tuesday, February 2nd, 2010

Image: http://www.casa.ucl.ac.uk/tom/ [Retrieved Feb 2, 2010]

The new Tweet-o-Meter is used to measure and visualize the amount of tweets sent around different cities. This tool allows us to pull in every 30 km area of any urban area. At the moment, the system can visualize New York, London, Paris, Munich, San Francisco, Barcelona, Oslo, Tokyo, Rome, Moscow and Sydney.

Tweet-o-Meter mines the data for later analysis relating to furthering our understanding of social and temporal dynamics for e-social science within the twitter demographic. The research is undertaken at CASA, university college London as a part of a wider survey tool as part of the NeISS project being coded by Steven gray, in association with urban Tick and Digital Urban.

The Tweet-o-Meter currently in beta mode updates every 10 seconds by displaying the city with highest number of tweets. A wider ranging system is being launched as part of a free data collection service via NeISS in the next couple of months.

It would be really cool to have real time graphs below which show either a daily or an hourly trend of the twitting happening around the world.

Is it true that, “New York is the city that never sleeps!”? Do Londoners send more Tweets than New Yorkians’? Is Oslo a bigger Tweeter than Munich? Is Tokyo as much into Tweets as Barcelona? Has San Francisco calmed down after all that talk about the iPad? Tweet-o-Meter Knows! But when will the Tweet-O-Meter enlighten us on this information? We should eagerly wait and watch.

Click on the link to visualize Tweet-o-Meter:

http://www.casa.ucl.ac.uk/tom/

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Data Mining & Traditional Chinese Medicine: Do they form a potion?

Tuesday, February 2nd, 2010

Knowledge discovery has been on the rise since the early 1990’s.  Medical information and knowledge extraction has been on the rise since the 2000. This has lead to the growth of increase in the amount of documents, information, and medical data,  which resulted in making the same more accessible to healthcare professionals.

In recent years, Data Mining technology has been applied in the field of traditional Chinese medicine (TCM) to discover regularities from the experience accumulated in the past thousands of medicine years in China. Electronic medical records (or clinical records) of TCM, containing larger amount of information than, well-structured data of prescriptions extracted manually from TCM literature, such as information related to medical treatment process. This could be an important source for discovering valuable information. However, the information is collected by TCM doctors on a day to day basis without the support of authoritative editorial board, and owing to different experience and background of TCM doctors, the same concept might be described in several different terms. Therefore, clinical records of TCM cannot be used directly. This is were data mining come into play and aid medical transcription and translation industry. Data mining tools could empower such medical professionals to ease there job and also maintain the proper translation according to the medical domain, and help to pass down the knowledge to the next generations correctly.

WebMD is good, but what we also need is Medical Wikipedia which encompasses all the medical knowledge of previous thousand years, from across the world (Various races, places, religions, traditions), at one place.

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Preparing for the Cyber World: Where are we?

Friday, January 29th, 2010

How are we doing against crime and terror today? This is a hot debate topic even to this day. But the bigger question which we should consider is the role played by technology. While the Internet is being intelligently used as the medium of communication, propagation tool by the terrorists, there has to be an alert, and any  possibility of cyber terrorist attack in future should not be ignored!

Data mining is recognized as the pivotal technology for combating terrorism and ensuring security of the homeland. There is a lot of research taking place on data mining techniques such as link analysis, trend discovery, real time data mining, predictive analysis and more. Researchers are developing a series of new automated algorithms for discovering frequent patterns in terrorism databases and other information repositories.

An intelligent data mining software agent is an autonomous program designed to perform human like function over the Internet. These intelligent agents are responsible for filtering and organizing scattered data from unstructured web document. The area of text based searching, which is the integral part of crime related systems seems to be very close to its maturity. we should see more commercial systems implementing this super technology within next few years if not earlier!

In the recent news article, a technologist said ” add analytics on top of the data to strengthen data mining and its possible for patterns to emerge!” yes, it is definitely possible as these patterns could point out possible terrorists. Thus,  aiding the government efforts to keep the citizens safe and secure. Therefore, let the data miners move ahead to predict and analyze for a better future!

[DefenceWeb] and [UT Dallas]

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Increased data mining in poker, should data mining use be reconsidered?

Tuesday, January 26th, 2010

The increasing sophistication of  technologies can lead to the transformation of some originally harmless tools into threatening ones. Microgaming’s use of data mining on its Poker Network is a case in lime light nowadays. It shows the long way the operators have to go in order to ensure fair play. The main objective of using datamining is an online poker tool was to store hand histories from observed tables on players’ computers. It was intended as a means of analyzing playing strategies and individual players’ weaknesses. But, as technology becomes ever more refined, the development of intelligent third party software has seen the data being used more strategically and giving those that use it added edge at the table.

According to Mr. Andrew Clucas, Head of Poker at Microgaming Software Systems,Concern has been rising over the long-term effect of third party software upon the poker industry as a whole, and in particular the negative effect it has on the recreational player demographic. The decision to put a stop to the practice of datamining on the Poker Network is part of Microgaming’s overarching network strategy to support operators in attracting and retaining recreational players. It further demonstrates commitment in providing a secure and fair playing environment.

Microgaming software’s decision to withdraw data mining should level out the difficulty in playing field between talented amateurs and professionals.This decision will surely bring back the sportsman spirit back onto the table. Instead of the use of software tools, the talented players brain game will come into play and will be well appreciated. But will the game ultimately be called a fair one without such data mining?

[OnlineCasioReports]

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