Selected Contributions in Data Analysis and Classification (eBook, PDF)

Redaktion: Brito, Paula; De Carvalho, Francisco; Cucumel, Guy; Bertrand, Patrice

• Format: PDF

Produktbeschreibung

This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 635
• Erscheinungstermin: 16. August 2007
• Englisch
• ISBN-13: 9783540735601
• Artikelnr.: 37366034

Inhaltsangabe

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 FunctionalData.- A New Method for Ranking n Statistical Units.- About Relational Correlations.- Dynamic Features Extraction in Soybean Futures Market of China.