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.

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

[Read MilitaryAeroSpace & BLADE]

About SAP:

Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Exchange and NYSE under the symbol “SAP.”

About Sybase:

Sybase has been a leader in developing and expanding innovative database technology. Since our founding in a Berkeley, Calif., home in 1984, we have earned the trust of many of the world’s leading companies for our ability to manage information and deliver unsurpassed levels of data reliability and security. Today, Sybase leads the industry in delivering enterprise software to manage, analyze and mobilize information. We are recognized globally as a performance leader, proven in the most data-intensive industries and across all major systems, networks and devices.

[eWeek]

Gilbert spend over 13 months to get to the bottom of the issue, and this investigation also  involved data mining knowledge to catch the irregularities. His work uncovered millions in delinquent payments to landowners thanks to a Virginia law that allowed natural gas companies to set up a complicated royalty system that often never meted out money to its rightful owners. It resulted in making changes in this law which are currently being reviewed.

About Pulitzer Prize:
The Pulitzer Prize is a U.S. award for achievements in newspaper journalism, literature and musical composition. Prizes are awarded yearly in twenty-one categories. In twenty of these, each winner receives a certificate and a US$10,000 cash award.

[EditorandPublisher]

A University of Alberta professor is helping to create text analysis tools to deeply examine historical trial accounts from the U.K.’s famous Old Bailey criminal court. While the research project is important to academia, the Edmonton-based researcher said that improving the quality of text mining tools could have benefits for businesses as well.

While academia are developing tools like TAPoR, a textual analysis tool that can summarize a body of text, find collocates, identify important dates, and discover the co-occurrences of two target words, the same could be applied to business records as well. Some of the tools in TAPoR use forms of visualization to help researchers grasp the data even clearer.

[IT Canada]

Some highlights:

• 40-item survey of data miners, conducted on-line in early 2009.

• 710 participants from 58 countries.

• Data miners’ most commonly used algorithms are regression, decision trees,
  and cluster analysis.

• Half of data miners say their results are helping to drive strategic
  decisions and operational processes.

• 58% say they are adding to the knowledge base in the field.

• 60% of respondents say the results of their modeling are deployed
  always or most of the time.

• Most data miners feel that the economy will not negatively impact them.

• Almost half of industry data miners rate the analytic capabilities of their
  company as above average or excellent.  But 19% feel their company has
  minimal or no analytic capabilities.

• The top challenges facing data miners are dirty data, explaining data mining
  to others, and difficult access to data.  However, in 2009 fewer data miners
  listed data quality and data access as challenges than in the previous year.

• IBM SPSS Modeler (SPSS Clementine), Statistica, and IBM SPSS Statistics
  (SPSS Statistics) are identified as the “primary tools” used by the most data
  miners.

• Open-source tools Weka and R made substantial movement up data
  miner’s tool rankings this year, and are now used by large numbers of
  both academic and for-profit data miners.

• SAS Enterprise Miner dropped in data miner’s tool rankings this year.

• Users of IBM SPSS Modeler, Statistica, and Rapid Miner are the most
  satisfied with their software.

• Fields & Industries:  Data mining is everywhere.  The most sited areas are
  CRM / Marketing, Academic, Financial Services, & IT / Telecom.  And in the
  for-profit sector, the departments data miners most frequently work in are
  Marketing & Sales and Research & Development.

[RexterAnalytics]

nPario plans to offer data products and services that enable companies to understand and market consumer commercial intent.

About nPario Inc.
With operations in North America and the EMEA region, nPariooffers data products and services that enable organizations to understand and market consumer intent. Led by CEO and co-founder Bassel Ojjeh, nPario’s management team has been on the forefront of harnessing the power of data for organizations such as Microsoft, SAS and Yahoo. For additional information visit www.npario.com

[Read More at nPario]

This statement can be set as the abstract of a new research being carried out on data mining. According to this new research , by researchers from Indiana University at Bloomington and the Oak Ridge National Laboratory in Oak Ridge, TN,  tracking of organized criminal activities across the web by the cyber gangs will be much easier now.

This Research identifies dense clusters of ISPs that appear to be overly tolerant of malicious activity from anti-malware, anti-spam companies and phishing blacklists. They state that such patterns were particularly evident in Eastern Europe and the Middle East after comparing data from variety of services that Measure ISPs. Acording to them an ISP is classified as malicious if it harbored at least 2.5 percent of the malicious Internet addresses for a given data set, such as the list of phishing sites or malware-laced sites. They found 58 networks that each had more than 100,000 compromised hosts in their Internet address space ranges, while another 255 networks had between 10,000 and 100,000 systems blacklisted.

Measuring online threats largely depends on their geographic location and focus. The study includes information on phishing websites from Phishtank.com and the Anti-Phishing Working Group; botnet data from the Shadowserver Foundation; spam data from Indiana University, Spamhaus, SURBL, and Support Intelligence; malware hosting stats from organizations such as CleanMX, eSoft, and Malware Patrol.

Ukraine, Iran and Belarus were found to be in an alarming stage as they had more than 80 percent of their Internet address ranges blacklisted for a combination of spam, phishing, and hosting malicious software. Their ISP count were two, one and one respectively. On the other hand Turkey captured the limelight while analyzing (mining) the data on prevalence of servers that criminals use to control botnets. They covered almost 9.11% of the total internet  addresses  listed through a large broadband ISP.

Another strategy, that brought United States into notice, which identifies problem networks based on the number of blacklisted addresses for a given ISP. This method usually points to the world’s largest ISPs.

One more approach was quite successful in identifying zombie systems. It was to identify ISPs and hosting providers that had a disproportionate number of network peers that were malicious. With the help of this approach 22 networks were found to be purely malicious, while some 194 networks were found to be partially malicious.

This research will definately be of great help and development of  internet security and law enforcements in this field.

For more details : http://www.csiir.ornl.gov/shue/research/infocommini10.pdf

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/