1 option
Classification and data mining Antonio Giusti, Gunter Ritter, Maurizio Vichi, editors
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online
View online- Format:
- Book
- Series:
- Studies in classification, data analysis, and knowledge organization
- Language:
- English
- Subjects (All):
- Data mining.
- Statistical decision.
- Data Mining.
- Medical Subjects:
- Data Mining.
- Physical Description:
- 1 online resource
- Place of Publication:
- Heidelberg New York Springer-Verlag ©2013
- System Details:
- text file PDF
- Summary:
- This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining"
- Contents:
- Classification and Data Analysis Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search Bruno Bertaccini, Roberta Varriale Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem Sergio Camiz, Gastão Coelho Gomes Inference on the CUB Model: An MCMC Approach Laura Deldossi, Roberta Paroli Robustness Versus Consistency in Ill-Posed Classification and Regression Problems Robert Hable, Andreas Christmann Issues on Clustering and Data Gridding Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti Dynamic Data Analysis of Evolving Association Patterns Alfonso Iodice D'Enza, Francesco Palumbo Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde Correspondence Analysis in the Case of Outliers Anna Langovaya, Sonja Kuhnt, Hamdi Chouikha
- Variable Selection in Cluster Analysis: An Approach Based on a New Index Isabella Morlini, Sergio Zani A Model for the Clustering of Variables Taking into Account External Data Karin Sahmer Calibration with Spatial Data Constraints Ivan Arcangelo Sciascia Data Mining Clustering Data Streams by On-Line Proximity Updating Antonio Balzanella, Yves Lechevallier, Rosanna Verde Summarizing and Detecting Structural Drifts from Multiple Data Streams Antonio Balzanella, Rosanna Verde A Model-Based Approach for Qualitative Assessment in Opinion Mining Maria Iannario, Domenico Piccolo An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data Elvira Romano, Jorge Mateu Graphical Models for Eliciting Structural Information Federico M. Stefanini
- Adaptive Spectral Clustering in Molecular Simulation Marcus Weber Applications Spatial Data Mining for Clustering: An Application to the Florentine Metropolitan Area Using RedCap Federico Benassi, Chiara Bocci, Alessandra Petrucci Misspecification Resistant Model Selection Using Information Complexity with Applications Hamparsum Bozdogan, J. Andrew Howe, Suman Katragadda, Caterina Liberati Applications A Clusterwise Regression Method for the Prediction of the Disposal Income in Municipalities Paolo Chirico A Continuous Time Mover-Stayer Model for Labor Market in a Northern Italian Area Fabrizio Cipollini, Camilla Ferretti, Piero Ganugi, Mario Mezzanzanica Model-Based Clustering of Multistate Data with Latent Change: An Application with DHS Data José G. Dias An Approach to Forecasting Beanplot Time Series Carlo Drago, Germana Scepi
- Shared Components Models in Joint Disease Mapping: A Comparison Emanuela Dreassi Piano and Guitar Tone Distinction Based on Extended Feature Analysis Markus Eichhoff, Igor Vatolkin, Claus Weihs Auralization of Auditory Models Klaus Friedrichs, Claus Weihs Visualisation and Analysis of Affiliation Networks as Tools to Describe Professional Profiles Cristiana Martini Graduation by Adaptive Discrete Beta Kernels Angelo Mazza, Antonio Punzo Modelling Spatial Variations of Fertility Rate in Italy Massimo Mucciardi, Pietro Bertuccelli Visualisation of Cluster Analysis Results Hans-Joachim Mucha, Hans-Georg Bartel, Carlos Morales-Merino The Application of M-Function Analysis to the Geographical Distribution of Earthquake Sequence Eugenia Nissi, Annalina Sarra, Sergio Palermi, Gaetano De Luca Energy Consumption
- Gross Domestic Product Causal Relationship in the Italian Regions Antonio Angelo Romano, Giuseppe Scandurra
- Notes:
- Includes bibliographical references
- Print version record
- Other Format:
- Print version:
- ISBN:
- 9783642288944
- 3642288944
- 3642288936
- 9783642288937
- 9781283945608
- 1283945606
- OCLC:
- 823388146
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.