Selected Contributions in Data Analysis and Classification

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Brito, Paula (Επιμελητής έκδοσης), Cucumel, Guy (Επιμελητής έκδοσης), Bertrand, Patrice (Επιμελητής έκδοσης), Carvalho, Francisco de (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Studies in Classification, Data Analysis, and Knowledge Organization,
• Θέματα: Statistics.; Data mining.; Pattern recognition.; Statistical Theory and Methods.; Data Mining and Knowledge Discovery.; Pattern Recognition.

By inviting me to write a preface, the organizers of the event in honour of Edwin Diday, have expressed their a?ection and I appreciate this very much. This gives me an opportunity to express my friendship and admiration for Edwin Diday, and I wrote this foreword with pleasure. My ?rst few meetings...

Πίνακας περιεχομένων:

• Analysis of Symbolic Data
• Dependencies and Variation Components of Symbolic Interval-Valued Data
• On the Analysis of Symbolic Data
• Symbolic Analysis to Learn Evolving CyberTraffic
• A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance
• An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval
• 3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling
• Clustering and Validation of Interval Data
• Building Symbolic Objects from Data Streams
• Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data
• Symbolic Markov Chains
• Quality Issues in Symbolic Data Analysis
• Dynamic Clustering of Histogram Data: Using the Right Metric
• Clustering Methods
• Beyond the Pyramids: Rigid Clustering Systems
• Indirect Blockmodeling of 3-Way Networks
• Clustering Methods: A History of k-Means Algorithms
• Overlapping Clustering in a Graph Using k-Means and Application to Protein Interactions Networks
• Species Clustering via Classical and Interval Data Representation
• Looking for High Density Zones in a Graph
• Block Bernoulli Parsimonious Clustering Models
• Cluster Analysis Based on Posets
• Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR
• Partitioning by Particle Swarm Optimization
• Conceptual Analysis of Data
• Concepts of a Discrete Random Variable
• Mining Description Logics Concepts with Relational Concept Analysis
• Representation of Concept Description by Multivalued Taxonomic Preordonance Variables
• Recent Advances in Conceptual Clustering: CLUSTER3
• Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies
• Consensus Methods
• Average Consensus and Infinite Norm Consensus : Two Methods for Ultrametric Trees
• Consensus from Frequent Groupings
• Consensus of Star Tree Hypergraphs
• Data Analysis, Data Mining, and KDD
• Knowledge Management in Environmental Sciences with : Application to Systematics of Corals of the Mascarene Archipelago
• Unsupervised Learning Informational Limit in Case of Sparsely Described Examples
• Data Analysis and Operations Research
• Reduction of Redundant Rules in Statistical Implicative Analysis
• Mining Personal Banking Data to Detect Fraud
• Finding Rules in Data
• Mining Biological Data Using Pyramids
• Association Rules for Categorical and Tree Data
• Induction Graphs for Data Mining
• Dissimilarities: Structures and Indices
• Clustering of Molecules: Influence of the Similarity Measures
• Group Average Representations in Euclidean Distance Cones
• On Lower-Maximal Paired-Ultrametrics
• A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities
• One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures
• Adaptive Dissimilarity Index for Gene Expression Profiles Classification
• Lower (Anti-)Robinson Rank Representations for Symmetric Proximity Matrices
• Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. Applications in Clustering and Discriminant Analysis
• Robinson Cubes
• Multivariate Statistics
• Relative and Absolute Contributions to Aid Strata Interpretation
• Classification and Generalized Principal Component Analysis
• Locally Linear Regression and the Calibration Problem for Micro-Array Analysis
• Sanskrit Manuscript Comparison for Critical Edition and Classification
• Divided Switzerland
• Prediction with Confidence
• Which Bootstrap for Principal Axes Methods?
• PCR and PLS for Clusterwise Regression on Functional Data
• A New Method for Ranking n Statistical Units
• About Relational Correlations
• Dynamic Features Extraction in Soybean Futures Market of China.