models in white papers
Building Data Mining Models in the Oracle 9i Environment
White Paper The basic facilities to create data mining models were implemented successfully on Oracle 9i as the extension of the database server. As a result Data Mining models can be used as support of... [01 Oct 2008]
Implementing Large-Scale Optimization Models in Excel Using VBA
White Paper The paper shows how using VBA within Excel to generate and solve large Linear Programs (LPs) overcomes many of the problems inherent in purely spreadsheet-based models and greatly increases model usability. [01 Oct 2008]
Econometric and Statistical Data Mining, Prediction and Policy-Making
White Paper How to formulate models that work well in explanation, prediction and policy-making is a central problem in all fields of science. Data relating to 18 industrialized countries over the years, taken from the IMF-IFS data... [01 Oct 2008]
Learning to Predict Forest Fires With Different Data Mining Techniques
White Paper They used predictive models based on the forest structure GIS (Geographical Information System), the weather prediction model - Aladin and MODIS satellite data. On these datasets they applied logistic regression and... [01 Oct 2008]
Automated Statistical Modeling for Data Mining
White Paper This paper explores the automation of the process of statistical data analysis via model scoring functions and search algorithms through the space of statistical models. In particular, the paper focuses on automated... [01 Oct 2008]
Data Mining: Understanding Data and Disease Modeling
White Paper The paper demonstrates how: simple models can be generated from a large set of attributes and the structure of the models change, when potentially anomalous cases are removed. Analyzing large data sets... [01 Oct 2008]
Designing MPLS Extensions for Customer Edge Routers
White Paper To satisfy a broad range of customer requirements, service providers must offer subscribers a portfolio that contains a number of different VPN service delivery models. A number of VPN models have been... [01 Oct 2008]
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
White Paper Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. The paper extends this idea to the Semantic Web... [01 Oct 2008]
Correlation and Sampling in Relational Data Mining
White Paper In particular, relational autocorrelation provides an opportunity to increase the predictive power of statistical models, but it can also mislead investigators using traditional sampling approaches to evaluate data... [01 Oct 2008]
Spatial-Temporal Data Mining in Traffic Incident Detection
White Paper There have been incident detection approaches based on traffic behavior or mathematical models proposed for this task. Real time traffic incident detection is critical for increasing safety and mobility on freeways. [01 Oct 2008]
Speeding Up Multi-Relational Data Mining
White Paper This paper presents a general approach to speeding up a family of multi-relational data mining algorithms that construct and use selection graphs to obtain the information needed for building predictive models... [01 Oct 2008]
Reconstructing Chemical Reaction Networks: Data Mining Meets System Identification
White Paper The solution strategy combines techniques from numerical sensitivity analysis and probabilistic graphical models. This paper presents an approach to reconstructing chemical reaction networks from time series measurements... [01 Oct 2008]
Link Mining: A New Data Mining Challenge
White Paper Links among the objects may demonstrate certain patterns, which can be helpful for many data mining tasks and are usually hard to capture with traditional statistical models. A key challenge for data mining is tackling... [01 Oct 2008]
Is Gaming the System State-or-Trait?: Educational Data Mining Through the Multi-Contextual Application of a Validated Behavioral Model
White Paper The paper uses the behavior model to predict each student's gaming frequency in a set of 35 tutor lessons, and then use linear models and the Bayesian Information Criterion to determine which class of explanations... [01 Oct 2008]
Insider Attack and Real-Time Data Mining of User Behavior
White Paper The analytical models are refined and used to update the real-time monitoring process. Early detection of employees' improper access to sensitive or valuable data is critical to limiting negative financial impacts to an... [01 Oct 2008]
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