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Elder Research is presenting a 2-day course, “Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links,” on September 22 - 23 in Charlottesville, Virginia. Drawing on more than 20 years of experience, Dr. John Elder will explain techniques employed by experts to solve challenging problems.This course describes powerful analytic methods for classification and estimation drawn from Statistics and Data Mining. Dr. Elder will explain leading algorithms, compare their merits, and demonstrate their effectiveness on practical applications .Also review classical statistical techniques, and outline how they are modified and combined into modern methods. The course emphasizes practical advice and the essential techniques of Resampling, Visualization, and Ensembles. Actual scientific and business examples illustrate techniques employed by expert analysts. Key aspects of mining text and links will also be outlined, and major strengths of leading commercial software tools for Data Mining will be compared.
Neural & Polynomial Networks Decision Trees & MARS (Regression Splines)
IV. Key General Tools
Scientific Visualization: Grand Tour, Projection Pursuit, limitations Bootstrapping/Resampling: Essential! Bayes' Rule Optimization: local and global Overfit Control: Complexity Penalty, Smoothing, Shrinking, Generalized Degrees of Freedom
V. Data Trouble-Shooting
Case Diagnostics (Outlying, Influential, Leverage, & Missing points) Feature Creation and Selection
VI. Text Mining
Stemming, Collocation, & Association Networks Statistical vs. Language-dependent methods “Bag of Words” & Vector Space Focused Crawling & Active Learning
VII. Social Network Analysis
The power of the "network effect" Visualization & modeling tools and examples
VIII. Comparing and Combining Algorithms
Adaptive model structure Matching an algorithm to your application Experimental test results Combining models to improve accuracy Bayesian Model Averaging Bagging & Boosting Why Ensembles work
IX. Top 10 Data Mining Mistakes
Lack data Focus on Training Rely on 1 technique Ask the wrong question Listen (only) to the data Future leakage Discount pesky cases Extrapolate Answer every inquiry Sample without care Believe the best model
Those who work with data and wish to understand and use recent developments in predictive analytics. At the conclusion of this course, you should be able to discern the basic strengths of competing methods and select the appropriate tools for your applications. Space is limited, so reserve your place now! To register, call 434-973-7673, or download a registration form. You can also register online.
Course is presented by John F. Elder IV, Ph.D., head of a top data mining consulting team based in Charlottesville, Virginia, and Washington DC. Founded in 1995, Elder Research, Inc. focuses on commercial, investment, and security applications of advanced analytics including stock selection, text mining, social networks, image recognition, biometrics, process optimization, drug efficacy, credit scoring, and fraud detection.
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