Data Science

1. Front Matter

   Pages i-xvi

   PDF

2. Classification Methods for High Dimensional Data

   1. Front Matter

      Pages 1-1

      PDF

   2. Missing Data Imputation and Its Effect on the Accuracy of Classification

      • Lynette A. Hunt

      Pages 3-14

   3. On Coupling Robust Estimation with Regularization for High-Dimensional Data

      • Jan Kalina, Jaroslav Hlinka

      Pages 15-27

   4. Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland

      • Barbara Pawełek, Krzysztof Gałuszka, Jadwiga Kostrzewska, Maciej Kostrzewski

      Pages 29-42

   5. On the Identification of Correlated Differential Features for Supervised Classification of High-Dimensional Data

      • Shu Kay Ng, Geoffrey J. McLachlan

      Pages 43-57

3. Clustering Methods and Applications

   1. Front Matter

      Pages 59-59

      PDF

   2. T-Sharper Images and T-Level Cuts of Fuzzy Partitions

      • Slavka Bodjanova

      Pages 61-72

   3. Benchmarking for Clustering Methods Based on Real Data: A Statistical View

      • Anne-Laure Boulesteix, Myriam Hatz

      Pages 73-82

   4. Representable Hierarchical Clustering Methods for Asymmetric Networks

      • Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra

      Pages 83-95

   5. A Median-Based Consensus Rule for Distance Exponent Selection in the Framework of Intelligent and Weighted Minkowski Clustering

      • Renato Cordeiro de Amorim, Nadia Tahiri, Boris Mirkin, Vladimir Makarenkov

      Pages 97-110

   6. Finding Prototypes Through a Two-Step Fuzzy Approach

      • Mario Fordellone, Francesco Palumbo

      Pages 111-121

   7. Clustering Air Monitoring Stations According to Background and Ambient Pollution Using Hidden Markov Models and Multidimensional Scaling

      • Álvaro Gómez-Losada

      Pages 123-132

   8. Marked Point Processes for Microarray Data Clustering

      • Khadidja Henni, Olivier Alata, Abdellatif El Idrissi, Brigitte Vannier, Lynda Zaoui, Ahmed Moussa

      Pages 133-147

   9. Social Differentiation of Cultural Taste and Practice in Contemporary Japan: Nonhierarchical Asymmetric Cluster Analysis

      • Miki Nakai

      Pages 149-159

   10. The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation

       • Atsuho Nakayama

       Pages 161-173

   11. Handling Missing Data in Observational Clinical Studies Concerning Cardiovascular Risk: An Insight into Critical Aspects

       • Nadia Solaro, Daniela Lucini, Massimo Pagani

       Pages 175-188

4. Multivariate Methods and Applications

   1. Front Matter

      Pages 189-189

      PDF

   2. Prediction Error in Distance-Based Generalized Linear Models

      • Eva Boj, Teresa Costa, Josep Fortiana

      Pages 191-204

   3. An Inflated Model to Account for Large Heterogeneity in Ordinal Data

      • Stefania Capecchi, Rosaria Simone, Domenico Piccolo

      Pages 205-217

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

• data science
• clustering
• data analysis
• classification
• classification methods for high-dimensional data
• clustering methods and applications
• multivariate statistical methods and applications

• Department of Political Sciences, University of Naples Federico II, Napoli, Italy

  Francesco Palumbo

• Department of Statistical Sciences Paolo Fortunati, Alma Mater Studiorum, University of Bologna, Bologna, Italy

  Angela Montanari

• Department of Statistical Sciences, Sapienza University of Rome, Rome, Italy

  Maurizio Vichi

Francesco Palumbo has been a full Professor of Statistics at the University of Naples Federico II since 2009. Associate professor and Full Professor at University of Macerata from 1996 to 2009. Master’s degree summa cum laude in Business and Economics; Ph.D. in Computational Statistics, University Federico II in Naples, Italy; Post-Doctoral Fellowship, University Federico II in Naples, Italy. He currently teaches Statistics and Psychometrics in intermediate and advanced courses. Associated Editor of Computational Statistics and Italian Journal of Applied Statistics. Scientific Secretary of the IASC (2007-2009), IASC Council Member 2009-2013. President of ClaDAG (Classification and Data Analysis Group of the Italian Statistical Society). Invited speaker at several International conferences on Complex Data and Cluster Analysis. He has been a Visiting Professor at CERAMADE Laboratory Paris Dauphine and at Conservatoire National des Arts et Metiers (Paris).

Angela Montanari has been a full Professor of Statistics at the University of Bologna since 2000. She is currently the Director of the University’s Department of Statistical Sciences “P. Fortunati,”, and a member of the teaching board for the PhD program on “Statistical Sciences”.  She is fellow of several international scientific societies, including the International Association for Statistics and Computing and the International Biometric Society.  She was President of Cladag from 2007-2009. She is member of the editorial board of the journal Advances in Data Analysis and Classification and of the NSERC Discovery Grant evaluation committee. She is the author or co-author of more than forty international publications.

Maurizio Vichi is full Professor of Statistics and Head of the Department of Statistical Sciences at Sapienza University of Rome. He is President of the Federation of European National Statistical Societies (FENStatS), former President of the Italian Statistical Society, and of the International Federation of Classification Societies (IFCS).  He is coordinating editor of the journal Advances in Data Analysis and Classification, Editor of the international book series Classification, Data Analysis and Knowledge Organization, and the series Studies in Theoretical and Applied Statistics, published by Springer. He is a member of ESAC (European Statistical Advisory Committee of European Union). He is author of several papers published in international Journals.

Policies and ethics