M2009 Data Mining Conference, October 26-27, Las Vegas - Join more than 700 data miners October 26-27 for the 12th annual M2009 Data Mining Conference. M2009 is the world's largest data mining conference and brings together industry thought leaders for two days of informative session on the latest trends in the industry. Listen to keynote presentations and case studies in the areas of retail, financial services, manufacturing, healthcare, text mining, fraud detection, and more! Register before July 17 and save $400 on conference fees. Learn more at www.sas.com/m2009.
Data Mining: Levels I, II & III ( August 24 - 28 in Denver, CO | October 5 - 9 in Washington, DC ) -- Learn how experts mine data and dramatically reduce your time to proficiency in predictive analytics. Leverage valuable information hidden within your volume of data for prospective insight and proactive treatment. This aggressive impact-oriented series presents data mining from three orientations. Register early to ensure your space. Full course details and secure registration at: www.the-modeling-agency.com/data-mining.
Data Mining: Failure to Launch ( Free Webinar: 11a EDT July 8 ) -- Get predictive modeling off the ground and into orbit. In this vendor-neutral and method agnostic live presentation, participants will learn why more than half of all data mining projects fail or fall short; how to avoid common pitfalls; valuable tips and tricks to enhance predictive modeling performance; why data mining is within their grasp; and how to get started. View event details and register for this Free Webinar at: www.the-modeling-agency.com/abridge.
Our first networking event will take place in Seattle in late August. Details will be published in our next edition.
Source code to efficiently score large datasets using a robust hybrid methodology, with application to credit scoring, will be posted by early August. Emphasis is on robustness, ease of implementation, speed (fast algorithm, 4 hours to process 100 million rows on one machine) and accuracy / predictive power.
Weaknesses in search engine relevancy algorithms. Could a rogue entity control search engine results (paid and organic) and remove several billion links, without hijacking the victim's servers, but instead, using sophisticated web crawling and data mining technology? How to fix the problem. In our next edition, we will also discuss open botnets.
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