learning data mining
Methodology of Adaptation of Data Mining Methods for Medical Decision Support: Case Study
White Paper Machine Learning, Statistical and Neural Network algorithms are applied for efficient data mining. Data mining is a problem solving technique, which... [29 Aug 2009]
New Optimization Methods in Data Mining
White Paper Data mining is a modern area of science dealing with the learning from given data in order to make predictions and estimations. Applications of Data... [29 Aug 2009]
Medical Image Classification Using an Efficient Data Mining Technique
White Paper Data mining refers to extracting or "Mining" knowledge from large amounts of data. Further development of computer-assisted radiology is associated with the use of new... [29 Aug 2009]
Visual Tools for Initial Exploratory Data Mining
White Paper Data mining frequently employs complex statistical and machine learning algorithms to extract this information. Data mining has been defined as "The... [29 Aug 2009]
A Review on Data Mining and Continuous Optimization Applications in Computational Biology and Medicine
White Paper This paper surveys data mining and machine learning methods for an analysis of complex systems in computational biology. Given the data from DNA microarray experiments... [29 Aug 2009]
Data Mining: Understanding Data and Disease Modeling
White Paper This would help domain experts to influence the data mining process and to properly evaluate the results of a data mining application. The paper also proposes an... [29 Aug 2009]
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
White Paper The paper has developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a domain-independent way and to improve... [29 Aug 2009]
A Visual Approach to Exploratory Data Mining
White Paper As the first step upon commencing an in-depth data mining analysis, students should become intimately acquainted with the data under study. This paper presents a methodology and set of... [29 Aug 2009]
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
White Paper This work takes a data mining approach to automatically recovering end-to-end transaction flows from (potentially obscure) monitoring events produced by monitoring tools. The paper classifies the... [29 Aug 2009]
Issues in Applying Data Mining to Grid Job Failure Detection and Diagnosis
White Paper This paper explores some issues that arise when one tries to apply existing implementations of data mining algorithms to diagnose as well as predict job failures in grids. Recently,... [29 Aug 2009]
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market
White Paper The experimentation shows the high efficacy reached for the applied methods, specially for data mining methods which have slightly outperformed ARIMA methodology. Results obtained has been compared with... [29 Aug 2009]
Improving Data Mining Via Noisy Micro-Outsourcing
White Paper This setting is in direct contrast to the setting motivating active learning and semi-supervised learning, where unlabeled points are relatively inexpensive, but labeling is expensive. This work... [29 Aug 2009]
Program Evolution for Data Mining
White Paper Some work has been done on automating (i.e.learning) the task of identifying desired signal elements. Around the world there are innumerable databases of information. The quantity of information available has created a... [29 Aug 2009]
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
White Paper This paper presents a framework which combines standard IR with machine learning and (pre-)processing for NER in order to extract events from a large document collection. Where Information Retrieval (IR) and Text... [29 Aug 2009]
Analysis and Reporting for Business Intelligence Solutions Built on Microsoft SQL Server
White Paper There is much more to SQL Server Analysis services, such as custom data mining and advanced cube design. To get started, download the sample applications and projects from the web, and start... [07 Aug 2009]
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