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《The Elements of Statistical Learning: Data Mining, Inference, and Prediction》 (Second Edition)（图）
Data Mining Inference Prediction
2015/8/21
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark...
Predicting the Severity of Breast Masses with Data Mining Methods
Breast cancer data mining decision tree neural network support vector machine
2013/6/17
Mammography is the most effective and available tool for breast cancer screening. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approxima...
Data Mining and Exploratory Data Analysis for the Evaluation of Job Satisfaction
Customer Relationship Management Relationship Value Management Job Satisfaction Social Enterprise Data Mining, Ordered Multiple Correspondence Analysis
2013/2/23
In this paper we face off the relationship value management which is a theme in the relationship marketing literature gaining increasing attention in the last decade. The main aim of this study is to ...
A Data Mining Analysis of The Parkinson’s Disease
Parkinson’s Disease Data Mining Decision Tree Neural Network
2013/2/23
Clinical decision- making needs available information to be the guidance for physicians. Nowadays, data mining method is applied in medical research in order to analyze large volume of medical data. T...
Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns
workforce analysis data mining linear regression HIV/AIDS prevalence patterns
2009/9/27
Increased nurse and physician density are associated with improved health outcomes, suggesting that countries aiming to attain the MDGs related to HIV/AIDS would do well to invest in their health work...
Data Mining as a Technique for Knowledge Management in Business Process Redesign
Data Mining, Knowledge Management Business Process Redesign Business re-engineering Artificial Neural Networks
2009/7/17
The literature on data mining, business process redesign and knowledge management over the last decades has been extensive and far-reaching. This paper integrates Information Systems and Business Stra...
Establishing a Link between Employee Turnover and Withdrawal Behaviours：Application of Data Mining Techniques
Vishnuprasad Nagadevara Vasanthi Srinivasan Reimara Valk
2009/4/10
Employee turnover is a serious concern in knowledge based organisations. When employees leave an organisation, they carry with them invaluable tacit knowledge which is often the source of competitive ...
Text data mining：Theory and methods
text data mining clustering visualization pattern recognition discriminant analysis dimensionality reduction feature extraction manifold learning
2009/2/11
This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current method...
State Space Realization Theorems For Data Mining
realizations formal series learning sets data mining Myhill–Nerode Theorem input-output maps algebraic approaches todata mining
2010/3/17
In this paper, we consider formal series associated with events, profiles
derived from events, and statistical models that make predictions
about events. We prove theorems about realizations for the...