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  •  Digging Up $$$ with Data Mining - An Executive's Guide  - http://www.tdan.com/i010ht01.htm
     Tim Graettinger. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. In this article, we address some of the key questions executives have about data mining.
  •  Estimating Campaign Benefits and Modeling Lift (Overheads)  - http://www.kdnuggets.com/gpspubs/kdd99-est-ben-lift/index.htm
     In assessing the potential of data mining based marketing campaigns one needs to estimate the payoff of applying modeling to the problem of predicting behavior of some target population. We present a methodology for initial cost/benefit analysis and present surprising empirical results, based on actual business data from several domains, on achievable model accuracy.
  •  Data Mining on the Web  - http://www.webtechniques.com/archives/2000/01/greening/
     Article by Dan Greening on data mining techniques applied to analyzing and making decisions from web data.
  •  Market Mining Tools  - http://www.marketminer.com
     A variety of modeling technologies to create response, retention, and valuation models and marketing analyses. These include Statistical Networks, Linear Regression, Logistic Regression, K-Nearest Neighbor and C4.5 Decision Trees.
  •  About.com on Data Mining  - http://databases.about.com/compute/databases/cs/datamining/
     About.com presents a collection of original feature articles, net links, forum discussions and a chat room dedicated to data mining and data warehousing topics.
  •  Web-Datamining  - http://www.web-datamining.net
     Web-datamining.net gather information and exchanges on Data Mining, Statistics and Knowledge Discovery, including publications, meetings and tools. In French and English
  •  Data Mining Resources  - http://www.ccsu.edu/datamining/resources.html
     A collection of Data Mining links edited by the Central Connecticut State University
  •  The Data Mine  - http://www.the-data-mine.com/
     Launched in April 1994 to provide information about Data Mining (AKA Knowledge Discovery In Databases or KDD). A Twiki site full of guides, info, and links
  •  DSS Lab  - http://www.dsslab.com/
     Includes articles and guides from some of the top applied data miners including Erik Thomsen, George Spofford, and Michael Berry
  •  Tyson Software  - http://www.TysonSoftware.co.uk/
     Flagship product, The Query Tool, a data mining application that performs data analysis upon any SQL database. Data can be sorted, filtered, printed and exported to a variety of formats.
  •  Visual Basic Data Mining .NET  - http://www.visual-basic-data-mining.net/DesktopDefault.aspx
     An online resource on data mining with applications developed using Visual Basic or the .NET framework. Features free data mining source code, applications, data mining algorithm documentation and data mining quick start guides. Includes Naive Bayes Classifiers, Decision Trees, One Rule (1Rule).
  •  Mi_Li_Wo Discussion Group  - http://home.kimo.com.tw/misforto/index.html
     Emphasis on the applications of modern modeling methodology and techniques from Statistics, Data Mining, and Machine Learning.
  •  Data Mining and Knowledge Discovery  - http://www.kluweronline.com/issn/1384-5810
     A peer-reviewed journal publishing articles on all aspects of Knowledge Discovery in Databases (KDD) and data mining methods for extracting high-level representations (patterns and models) from data. Accepts submissions of original research or technical survey articles of related fields and techniques.
  •  Joel Ratsaby  - http://www.bgu.ac.il/~ratsaby/
     Describes personal, professional and research capabilities on Intelligent Systems, Data Mining, Bayesian Networks and Learning Theory. Publications available in pdf format.