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«SECOND CONFERENCE BUSINESS ANALYTICS IN FINANCE AND INDUSTRY DECEMBER 14TH to 16TH at UNIVERSIDAD DE LOS ANDES, SANTIAGO, CHILE. visit ...»

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PROCEEDINGS

SECOND CONFERENCE

BUSINESS ANALYTICS

IN FINANCE AND INDUSTRY

DECEMBER 14TH to 16TH at UNIVERSIDAD DE LOS ANDES, SANTIAGO, CHILE.

visit www.bafi.cl

Organizers: Supporting Organizers: Contributors:

UNIVERSIDAD DE LOS ANDES, SANTIAGO, CHILE.

BAFI2015

PRESENTATION

The aim of the conference BAFI 2015 is to bring together researchers and developers from data science and related areas with practitioners and consultants applying the respective techniques in different business-related domains. This event provides a platform to stimulate an academic exchange of recent developments as well as to foster the mutual influence between academia and practitioners.

At BAFI 2015 we focus on methodological developments aimed at uncovering information contained in large databases, as well as on business applications in various sectors, such as finance, retail, and telecommunication, among others.

CONTACT US ON:

For more information please check the conference´s web site: www.bafi.cl info@bafi.cl @bafichile INDEX BAFI2015 Page 7 Program Schedule 8 Program 13 Proceedings Keynotes M1 KEYNOTE 1 - Emilio Carrizosa 14 "Mathematical Optimization Tools for Data Visualization" M2 KEYNOTE 2 - Witold Pedrycz 14 "Data Analytics with Information Granules" M4 KEYNOTE 3 - Pablo Estévez 15 "Computational Intelligence Challenges in the Big Data Era: Application to Time Domain Astronomy" T1 KEYNOTE 4 - Matt Davison 15 "Analytics when the Stakes are High: Uniting Several Business Analytics Techniques to Solve a Problem in Harbour Security" T2 KEYNOTE 5 - Alfred Inselberg 16 "Visualization and Data Mining for High Dimensional Datasets" T4 KEYNOTE 6 - Bernhard Schölkopf 16 "Toward Causal Machine Learning" W1 KEYNOTE 7 - Jonathan Crook 17 "Intensity Models to Predict Credit Card Transitions"z W2 KEYNOTE 8 - Sven Crone 17 "Business Analytics for TV Audiences – A Case Study on Combining Descriptive, Predictive and Prescriptive Analytics" W3 KEYNOTE 9 - Usama Fayyad 17 "From Big Data to Data Science: Challenges

–  –  –

29 M5B

-Incremental Algorithms for Short-Term Electricity Load Forecasting

-Estimating Seasonal Parameters under the Discrete Sales Prediction Model with Seasonality

-Forecasting Long Term Electric Energy and Max Power Demand using Artificial Neural Networks

-A Knowledge-Discovery Approach for Modelling and Forecasting Copper Prices during Stages of the Economic Cycle

–  –  –

35 M6B

-Health Topics with Data Science: Exploratory Research with Social Network Analysis

-Churn Management In Retail Membership Organizations – An Industrial Case Study

-Optimization Model to Identify Criminal Groups in Social Networks

-The storage space allocation problem – a fuzzy logic approach 38 M6C

-Big Data Analytics and Public Transportation Systems: A Strategic Intelligence approach based on Knowledge and Risk Management

-Disaggregate analysis of public transport usage and loyalty using massive data

-Data Mining in Sustainable Logistics

-The Commercial interrelation of the Mexican manufacturing sector and its influence on exports

–  –  –

44 T3B

-Credit Scoring with Support Vector Machine (SVM) considering Feature Selection via a Budget Constraint

-Time Series Feature Selection with Kernel-Penalized Support Vector Regression – an Empirical evaluation for Electric Load Forecasting

-Multi-class Support Vector Machines with configuration center

-The Black Box Revelation: An Empirical Evaluation of Rule Ensembles for Bankruptcy Prediction

–  –  –

47 T5A

-Phishing Detection Using Adversarial Aware Online Support Vector Machines

-Understanding and Generating Natural Language for Virtual Assistance

-Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels

-Output-Error Identification of Large-Scale One Dimensional Spatially Interconnected Systems: A Sequentially Semi-Separable Approach.

–  –  –

54 T6A

-Machine Learning for Financial Statement Fraud Detection

-An Alternative to Cost-Sensitive Classification for Credit Card Fraud Detection

-Fraud Detection with Cost-Sensitive Predictive Analyticsz 56 T6B

-Advanced analysis of multi-dimensional datasets` dynamics: preliminary results

-Dynamic Clustering of Telecom Customer Networks

-Forecasting the Chilean Optimal Energy Matrix: A Problem Within a Hostile Environment

-Some new approaches for the class imbalance problem

–  –  –

63 W4B

-Microaggregation and Data Coding: Towards Privacy Preserving in Credit Client Data Modeling

-Modelling Operational Risk using Extreme Value Theory and Skew t-copulas

-An application of account level transition models for credit cards income prediction

-Solution for ACO using an Intel Xeon Phi coprocessor

–  –  –





M1 - Keynote 1: Emilio Carrizosa M2 - Keynote 2: Witold Pedrycz M3A 11:30 -13:00 Session Chair: Witold Pedrycz Constrained Clustering Using Lagrangian Relaxation Julio Casanova, Cristián Bravo and Richard Weber A Soft-Computing Generalization of Support Vector Clustering Ramiro Saltos and Richard Weber Applying Sentiment Analysis on tracked opinions expressed by Chilean twitterers grouped by keywords Felipe Vildoso, Juan D. Velásquez, Jorge Mujica OWA operators in support vector machines José M. Merigó and Jaime Miranda M3B 11:30 -13:00 Session Chair: Matt Davison The effect of transmission costs in optimal energy portfolio in Brazil: An analysis through portfolio theory Lucas L. Oliveira, Celma O. Ribeiro, Erik E. Rego and Raphael M. Dutenkefer Multiobjective Optimization under Uncertainty applied to the Capital Budgeting Process Aneirson Silva, Erica Dias, Mariana Ushizima and Fernando Marins Optimizing a Bank Branch Network in the Presence of Mobile Banking Francisco Cisternas Vera Application of CRITIC method in multi-criteria problems for selection of investment projects.

Martín Solar M.

M4 - Keynote 3: Pablo Estévez M5A 15:00 -16:30 Session Chair: Cristián Bravo New Kernel metrics for content analysis in Finance and Accounting: a case study in CEO's letters to shareholders Alberto Muñoz, Gabriel Martos Venturini, Encarna Guillamón-Saorín and Beatriz García-Osma It is all about the Risk- Text Mining Reporting Quality David Fritz and Eugen Töws Smoothing splines for time-series, longitudinal and spatial data Mario Martinez and Jianxin Pan Fitness Awareness through Sentiment Analysis Ratna Madhuri Maddipatla and Nagamani Maddipatla M5B 15:00 -16:30 Session Chair: Sven Crone Incremental Algorithms for Short-Term Electricity Load Forecasting Dima Alberg and Mark Last Estimating Seasonal Parameters under the Discrete Sales Prediction Model with Seasonality Claudia Montanía, Santiago Gomez and Christian E. Schaerer Forecasting Long Term Electric Energy and Max Power Demand using Artificial Neural Networks Andres Palma, Cesar Araya, Sven Crone and Richard Weber A Knowledge-Discovery Approach for Modelling and Forecasting Copper Prices during Stages of the Economic Cycle David Diaz and Babis Theodoulidis MONDAY 14 M6A 17:00 -18:30 Session Chair: Alex Seret An Evaluation Framework for Collaborative Filtering on Purchase information in Recommendation Systems Stijn Geuens, Kristof Coussement and Koen De Bock Integrating Behavioral, Product, and Customer Data in Hybrid Recommendation Systems Based on Factorization Machines Stijn Geuens, Koen De Bock and Kristof Coussement Profit Based Detection of Prepaid Credits in Banking: Preliminary Results Juan Hormazábal, Alex Seret and Sebastián Ríos M6B 17:00 -18:30 Session Chair: Richard Weber Health Topics with Data Science: Exploratory Research with Social Network Analysis Cinthya Leonor Vergara Silva Churn Management In Retail Membership Organizations – An Industrial Case Study Stephen Guo, Wei Shen and Yannis Pavlidis Optimization Model to Identify Criminal Groups in Social Networks Fredy Troncoso and Richard Weber The storage space allocation problem – a fuzzy logic approach Jana Ries, Rosa G. González-Ramírez and Pablo A. Miranda M6C 17:00 -18:30 Session Chair: Marcela Munizaga Big Data Analytics and Public Transportation Systems: A Strategic Intelligence approach based on Knowledge and Risk Management Eduardo Rodriguez and Yong Li Disaggregate analysis of public transport usage and loyalty using massive data Marcela Munizaga and María Calvo Data Mining in Sustainable Logistics Sheida Hadavi, Cathy Macharis, Koen Van Raemdonck and Wouter Verbeke The Commercial interrelation of the Mexican manufacturing sector and its influence on exports José Martín Segovia Cocom and Rosa Isela Fernández Xicoténcatl TUESDAY 15 T1 - Keynote 4: Matt Davison T2 - Keynote 5: Alfred Inselberg T3A 11:30 -13:00 Session Chair: Richard Weber Parallel Coordinates implement Taste Recognition Pei Ling Lai and Alfred Inselberg Detecting Employee Loss in a Mining Company Using HR Analytics Roberto Jara, Richard Weber, Sebastián Conde and Nibaldo Areyuna Using Self-Organizing Maps to model turnover of Sales Agents in a Call Center as probabilities of state changes Mauricio A. Valle, Gonzalo A. Ruz and Victor H. Masías Testing the Reference-Day Risk Implicit in the Beta Estimates of shares in the JSE Top 40 Christopher Baker, Emlyn James Flint and Kanshukan Rajaratnam TUESDAY 15 T3B 11:30 -13:00 Session Chair: Cristián Bravo Credit Scoring with Support Vector Machine (SVM) considering Feature Selection via a Budget Constraint Juan Perez, Sebastián Maldonado and Cristián Bravo Time Series Feature Selection with Kernel-Penalized Support Vector Regression – an Empirical evaluation for Electric Load Forecasting Agustín González, Sebastián Maldonado and Sven Crone Multi-class Support Vector Machines with configuration center Miguel Carrasco, Julio López and Sebastián Maldonado The Black Box Revelation: An Empirical Evaluation of Rule Ensembles for Bankruptcy Prediction Koen W. De Bock T4 - Keynote 6: Bernhard Schölkopf T5A 15:00 -16:30 Session Chair: Sven Crone Phishing Detection Using Adversarial Aware Online Support Vector Machines Nicolas Figueroa, Gaston L'Huillier and Richard Weber Understanding and Generating Natural Language for Virtual Assistance Gaston L'Huillier, Sebastian Kreft, Ricardo Zilleruelo, Francisco Larrain, Amit Koren and Bhupesh Bansal Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels Felipe Tobar and Richard E. Turner Output-Error Identification of Large-Scale One Dimensional Spatially Interconnected Systems: A Sequentially Semi-Separable Approach.

Patricio Torres T5B 15:00 -16:30 Session Chair: Alex Seret Interactive Data Exploration with Infolattices Dominik Ślęzak, Marek Grzegorowski, Andrzej Janusz and Sebastian Stawicki Student Attrition - Identifying Key Factors and Building a Predictive model in Universidad de Chile context Jaime Miranda and Jonathan Vasquez Discovering Profitable Pricing Rules in the Retail Industry Luis Aburto, Marcel Goic and Vanja Demetrio Developing of Sales Models based on Risk for Consumption Credits in Retail Banking for Bci Oscar Marguirott T6A 17:00 -18:30 Session Chair: Cristián Bravo Machine Learning for Financial Statement Fraud Detection Maria Jofre, Richard Gerlach and Demetris Christodoulou An Alternative to Cost-Sensitive Classification for Credit Card Fraud Detection George Petrides and Wouter Verbeke Fraud Detection with Cost-Sensitive Predictive Analytics Alejandro Correa Bahnsen TUESDAY 15 T6B 17:00 -18:30 Session Chair: Richard Weber Advanced analysis of multi-dimensional datasets` dynamics: preliminary results Alex Seret Dynamic Clustering of Telecom Customer Networks Aimee Backiel, Alex Seret, Bart Baesens and Gerda Claeskens Forecasting the Chilean Optimal Energy Matrix: A Problem Within a Hostile Environment Marcelo Da Barrosa, Pedro Araujo, Rego Erik and Celma De Oliveira Ribeiro Some new approaches for the class imbalance problem Andrés Ávila, Sabrina Mansur and Patricio Galeas T6C 17:00 -18:30 Session Chair: Sebastián Maldonado Predicting Stock Returns in the Argentinean Stock Market by Mining a Large Corpus of Message Board Posts Ramiro H Gálvez and Agustín Gravano Fitted Liquidity Model Ruy Cortés, Jacobo Merino and María Gomez Analysis and development of a behavioral credit scoring model for micro-entrepreneurs of the agricultural sector Daniela Lazo and Cristián Bravo A profit measure with deterministic and stochastic effects for data mining models Franco Garrido, Wouter Verbeke and Cristián Bravo WEDNESDAY 16 W1 - Keynote 7: Jonathan Crook W2 - Keynote 8: Sven Crone W3 - Keynote 9: Usama Fayyad W4A 14:00 -16:00 Session Chair: Richard Weber Panel Business Analytics ¿Para dónde vamos?

¿Estamos preparados para los desafíos tecnológicos?



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