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Cash demand forecasting in ATMs by clustering and neural networks

European journal of operational research, 2014, Vol.232 (2), p.383-392

2014

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A Performance Analysis of Fault Recovery in Stream Processing Frameworks

IEEE access, 2021, Vol.9, p.93745-93763

2021

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Customer attrition analysis for financial services using proportional hazard models

European journal of operational research, 2004-08, Vol.157 (1), p.196-217

2004

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Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

European journal of operational research, 2004-07, Vol.156 (2), p.508-523

2004

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Evaluation of Stream Processing Frameworks

IEEE transactions on parallel and distributed systems, 2020-08, Vol.31 (8), p.1-1

2020

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Evaluating multiple classifiers for stock price direction prediction

Expert systems with applications, 2015-11, Vol.42 (20), p.7046-7056

2015

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bayesQR : A Bayesian Approach to Quantile Regression

Journal of statistical software, 2017, Vol.76 (7), p.1-32

2017

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The Kinked Demand Curve and Price Rigidity: Evidence from Scanner Data

The Scandinavian journal of economics, 2010-12, Vol.112 (4), p.723-752

2010

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Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

Expert systems with applications, 2008, Vol.34 (1), p.313-327

2008

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Evaluating the influence of Airbnb listings’ descriptions on demand

International journal of hospitality management, 2021-10, Vol.99, p.103071, Article 103071

2021

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Empathy as added value in predicting donation behavior

Journal of business research, 2011-12, Vol.64 (12), p.1288-1295

2011

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Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models

European journal of operational research, 2006-05, Vol.170 (3), p.710-734

2006

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Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

Journal of applied econometrics (Chichester, England), 2012-11, Vol.27 (7), p.1174-1188

2012

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An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Expert systems with applications, 2011-09, Vol.38 (10), p.12293-12301

2011

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Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

Expert systems with applications, 2009-04, Vol.36 (3), p.6127-6134

2009

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Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Computers and electronics in agriculture, 2021-01, Vol.180, p.105904, Article 105904

2021

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Improving customer complaint management by automatic email classification using linguistic style features as predictors

Decision Support Systems, 2008-03, Vol.44 (4), p.870-882

2008

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Algorithms from and for Nature and Life: Classification and Data Analysis

2013., 2013

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Predicting online-purchasing behaviour

European journal of operational research, 2005-10, Vol.166 (2), p.557-575

2005

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Integrating the voice of customers through call center emails into a decision support system for churn prediction

Information & management, 2008-04, Vol.45 (3), p.164-174

2008

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Evaluating the importance of different communication types in romantic tie prediction on social media

Annals of operations research, 2018-04, Vol.263 (1-2), p.501-527

2018

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Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting

European journal of operational research, 2005-07, Vol.164 (1), p.252-268

2005

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Influencing Factors in the Scalability of Distributed Stream Processing Jobs

IEEE access, 2021, Vol.9, p.109413-109431

2021

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Random Forests for multiclass classification: Random MultiNomial Logit

Expert systems with applications, 2008-04, Vol.34 (3), p.1721-1732

2008

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Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning

Computers and electronics in agriculture, 2021-12, Vol.191, p.106566, Article 106566

2021

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Cash demand forecasting in ATMs by clustering and neural networks

A Performance Analysis of Fault Recovery in Stream Processing Frameworks

Customer attrition analysis for financial services using proportional hazard models

Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

Evaluation of Stream Processing Frameworks

Evaluating multiple classifiers for stock price direction prediction

bayesQR : A Bayesian Approach to Quantile Regression

The Kinked Demand Curve and Price Rigidity: Evidence from Scanner Data

Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

Evaluating the influence of Airbnb listings’ descriptions on demand

Empathy as added value in predicting donation behavior

Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models

Binary quantile regression: a Bayesian approach based on the asymmetric Laplace distribution

An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning

Improving customer complaint management by automatic email classification using linguistic style features as predictors

Algorithms from and for Nature and Life: Classification and Data Analysis

Predicting online-purchasing behaviour

Integrating the voice of customers through call center emails into a decision support system for churn prediction

Evaluating the importance of different communication types in romantic tie prediction on social media

Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting

Influencing Factors in the Scalability of Distributed Stream Processing Jobs

Random Forests for multiclass classification: Random MultiNomial Logit

Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning

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