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A novel cost-sensitive framework for customer churn

Correa Bahnsen et al. Decision Analytics (2015) 25 DOI 10.1186/s40165-015-0014-6 R ESEA R CH Open Access A novel cost-sensitive framework for customer churn predictive modeling Alejandro Correa Bahnsen*, Djamila Aouada and Björn Ottersten *Correspondence [email protected] Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg

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The Weka solution to the 2004 KDD Cup ACM Digital

This short communication describes the Weka solution for the 2004 KDD cup problems, mostly focusing on the bioinformatics problem, where this approach performed best among all submissions. Differences were not significant for the best three submissions, though.

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Fernando Ferri free download. Ebooks library. On-line

New post "Full-text search for articles, highlighting downloaded books, view pdf in a browser and download history correction" in our blog. Exact matching Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo (auth.), Annalisa Appice, Michelangelo Ceci,

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Combining many-objective radiomics and 3D convolutional

Ferri C, Hernández-Orallo J and Salido M A 2003 Volume under the ROC surface for multi-class problems European Conf. on Machine Learning (Berlin Springer) pp 10820 Ganeshan B, Abaleke S, Young R C, Chatwin C R and Miles K A 2010 Texture analysis of non-small cell lung cancer on unenhanced computed tomography initial evidence for a

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Download Ferri

Ferri > Download ATTENZIONE!!! Stai utilizzando un browser obsoleto, aggiornalo all'ultima versione per visualizzare correttamente i contenuti di questo sito web.

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Measuring soccer players' contributions to chance creation

AbstractScouting departments at soccer clubs aim to discover players having a positive influence on the outcomes of matches. Since passes are the most frequently occurring on-the-ball actions on the pitch, a natural way to achieve this objective is by identifying players who are effective in setting up chances. Unfortunately, traditional statistics such as number of assists fail to reveal

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The limits of human predictions of recidivism Science

Download Powerpoint Fig. 3 Ranking accuracy of human predictions, statistical models, and existing tools. Ranking accuracy, as measured by AUC, is shown for (i) human predictions without feedback, (ii) logistic regression models that use the same information provided to study participants, and (iii) the existing LSI-R tools.

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Machine Learning by Peter Flach

To send content items to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account.

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From Ensemble Methods To Comprehensible Models CORE

Ensemble methods improve accuracy by combining the predictions of a set of dierent hypotheses. However, there are two important shortcomings associated with ensemble methods. Huge amounts of memory are required to store a set of multiple hypotheses and, more importantly, comprehensibility of a single hypothesis is lost.

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Using negotiable features for prescription problems

Nov 12, 2010 · Using negotiable features for prescription problems Bella, Antonio; Ferri, Cèsar; Hernández-Orallo, José; Ramírez-Quintana, María 2010-11-12 000000 Data mining is usually concerned on the construction of accurate models from data, which are usually applied to well-defined problems that can be clearly isolated and formulated independently

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Machine learningXGBoost analysis of language networks

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing 'atypical' (compared to

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Volume under the ROC Surface for Multi-class Problems

Assessment of IrisPlex-based multiplex for eye and skin color prediction with application to a Portuguese population

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An Introduction to Decision Theory by Martin Peterson

This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory.

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Plant Foods and Herbal Sources of Resveratrol Journal of

Apr 26, 2002 · Stilbenes, in particular trans-resveratrol and its glucoside, are widely reported to be beneficial to health, having been shown to possess antioxidative, anticarcinogenic, and antitumor properties. Major dietary sources include grapes, wine, peanuts, and soy; however, they can also be introduced into the diet through Itadori tea, which has long been used in Japan and China as a

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The PARTcommunity CAD download portal is an online library for 2D & 3D CAD models of supplier- and standard parts for all CAD formats. PARTcommunity is a library for 2D & 3D CAD models of supplier and standard parts.

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Machine Learning, Data Science, Big Data, Analytics, AI

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JRFM Free Full-Text Exact Fit of Simple Finite Mixture

How to forecast next year's portfolio-wide credit default rate based on last year's default observations and the current score distribution? A classical approach to this problem consists of fitting a mixture of the conditional score distributions observed last year to the current score distribution. This is a special (simple) case of a finite mixture model where the mixture components are

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The Best Free Media Players app downloads for Windows Windows Media Player Windows Media Player (64-bit) Midi Player Windows Media Player 12 Kodi Win

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l 13 Naive Bayes Classifier Statistical Classification

l 13 Naive Bayes Classifier Free download as Powerpoint Presentation (.ppt), File (.pdf), Text File (.txt) or view presentation slides online. This presentation gives

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Evaluation of computer-aided PubMed Central (PMC)

Aug 01, 2013 · I. INTRODUCTION. It has long been recognized that clinicians do not always make optimal use of the data acquired by an imaging device. 1,2 The limitations of the human eye-brain system, limitations in training and experience, and factors such as fatigue, distraction, and satisfaction of search may all contribute to suboptimal use of available information. 35 Image processing

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An thinking desperate things himself, though no human being had ever suspected the fact. This man had faced some tragedy, he could see. Had he been on the verge of a crime-

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Decision Support for Data Mining SpringerLink

In this chapter we give an introduction to ROC ('receiver operating characteristics') analysis and its applications to data mining. We argue that ROC analysis provides decision support for data

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The accuracy of transcranial Doppler in excluding

Untimely diagnosis of intracranial hypertension may lead to delays in therapy and worsening of outcome. Transcranial Doppler (TCD) detects variations in cerebral blood flow velocity which may correlate with intracranial pressure (ICP). We investigated if intracranial hypertension can be accurately excluded through use of TCD. This was a multicenter prospective pilot study in patients with

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LAZY LEARNER ON DECISION TREE FOR RANKING

C. Ferri, P. A. Flach and J. Hernandez-Orallo, Learning decision trees using the area under the roc curve, Proceedings of Internation Conference on Machine Learning (ICML2002) ( Springer, 2002) .

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Data Mining And Analysis Fundamental Concepts And

DOWNLOAD NOW » Data Mining and Data Warehousing is the recent trend in IT field but still it is widely used in various areas. This book introduces basic as well as advanced techniques of data mining & brief information about data warehousing. The book also contains some advanced software tools which are really helpful for students.

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Data Mining For Business Analytics Concepts Techniques

DOWNLOAD NOW » Data Mining for Business Analytics Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

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l 13 Naive Bayes Classifier Statistical Classification

l 13 Naive Bayes Classifier Free download as Powerpoint Presentation (.ppt), File (.pdf), Text File (.txt) or view presentation slides online. This presentation gives

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Martínez Plumed, F.; Ferri Ramírez, C.; Hernández Orallo

Fernando Mart nez-Plumed, C esar Ferri, Jos e Hern andez-Orallo, and Mar a Jos e Ram rez-Quintana DSIC, Universitat Polit ecnica de Val encia, Cam de Vera s/n, 46022 Val encia, Spain. ffmartinez,cferri,jorallo,[email protected] Abstract. In this paper, we push forward the idea of machine learning

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