Sign up
Forgot password?
FAQ: Login

Lausen Berthold, Van den Poel Dirk, Ultsch Alfred (ed.) Algorithms from and for Nature and Life: Classification and Data Analysis

  • pdf file
  • size 8,24 MB
  • added by
  • info modified
Lausen Berthold, Van den Poel Dirk, Ultsch Alfred (ed.) Algorithms from and for Nature and Life: Classification and Data Analysis
Cham: Springer, 2013. — 510 p. — ISBN: 978-3-319-00034-3; ISBN: 978-3-319-00035-0.
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included.
Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.
Invited
Size and Power of Multivariate Outlier Detection Rules
Clustering and Prediction of Rankings Within a Kemeny Distance Framework
Solving the Minimum Sum of L1 Distances Clustering Problem by Hyperbolic Smoothing and Partition into Boundary and Gravitational Regions
Clustering and Unsupervised Learning
On the Number of Modes of Finite Mixtures of Elliptical Distributions
Implications of Axiomatic Consensus Properties
Comparing Earth Mover’s Distance and its Approximations for Clustering Images
A Hierarchical Clustering Approach to Modularity Maximization
Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches
Efficient Spatial Segmentation of Hyper-spectral 3D Volume Data
Cluster Analysis Based on Pre-specified Multiple Layer Structure
Factor PD-Clustering
Statistical Data Analysis, Visualization and Scaling
Clustering Ordinal Data via Latent Variable Models
Sentiment Analysis of Online Media
Visualizing Data in Social and Behavioral Sciences: An Application of PARAMAP on Judicial Statistics
Properties of a General Measure of Configuration Agreement
Convex Optimization as a Tool for Correcting Dissimilarity Matrices for Regular Minimality
Principal Components Analysis for a Gaussian Mixture
Interactive Principal Components Analysis: A New Technological Resource in the Classroom
One-Mode Three-Way Analysis Based on Result of One-Mode Two-Way Analysis
Latent Class Models of Time Series Data: An Entropic-Based Uncertainty Measure
Regularization and Model Selection with Categorical Covariates
Factor Preselection and Multiple Measures of Dependence
Intrablocks Correspondence Analysis
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data
Bioinformatics and Biostatistics
An Efficient Algorithm for the Detection and Classification of Horizontal Gene Transfer Events and Identification of Mosaic Genes
Complexity Selection with Cross-validation for Lasso and Sparse Partial Least Squares Using High-Dimensional Data
A New Effective Method for Elimination of Systematic Error in Experimental High-Throughput Screening
Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics
Identification of Risk Factors in Coronary Bypass Surgery
Archaeology and Geography, Psychology and Educational Sciences
Parallel Coordinate Plots in Archaeology
Classification of Roman Tiles with Stamp PARDALIVS
Applying Location Planning Algorithms to Schools: The Case of Special Education in Hesse (Germany)
Detecting Person Heterogeneity in a Large-Scale Orthographic Test Using Item Response Models
Linear Logistic Models with Relaxed Assumptions in R
Text Mining, Social Networks and Clustering
An Approach for Topic Trend Detection
Modified Randomized Modularity Clustering: Adapting the Resolution Limit
Cluster It! Semiautomatic Splitting and Naming of Classification Concepts
Banking and Finance
A Theoretical and Empirical Analysis of the Black-Litterman Model
Vulnerability of Copula-VaR to Misspecification of Margins and Dependence Structure
Dynamic Principal Component Analysis: A Banking Customer Satisfaction Evaluation
Comparison of Some Chosen Tests of Independence of Value-at-Risk Violations
Fundamental Portfolio Construction Based on Mahalanobis Distance
Multivariate Modeling of Cross-Commodity Price Relations
Along the Petrochemical Value Chain
Marketing and Management
Lifestyle Segmentation Based on Contents of Uploaded Images Versus Ratings of Items
Optimal Network Revenue Management Decisions Including Flexible Demand Data and Overbooking
Non-symmetrical Correspondence Analysis of Abbreviated Hard Laddering Interviews
Antecedents and Outcomes of Participation in Social Networking Sites
User-Generated Content for Image Clustering and Marketing Purposes
Logic Based Conjoint Analysis Using the Commuting Quantum Query Language
Product Design Optimization Using Ant Colony And Bee Algorithms: A Comparison
Music Classification Workshop
Comparison of Classical and Sequential Design of Experiments in Note Onset Detection
Recognising Cello Performers Using Timbre Models
A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis
Computational Prediction of High-Level Descriptors of Music Personal Categories
High Performance Hardware Architectures for Automated Music Classification
  • Sign up or login using form at top of the page to download this file.
  • Sign up
Up