Data Science and Classification

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Batagelj, Vladimir (Επιμελητής έκδοσης), Bock, Hans-Hermann (Επιμελητής έκδοσης), Ferligoj, Anuška (Επιμελητής έκδοσης), Žiberna, Aleš (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Σειρά:Studies in Classification, Data Analysis, and Knowledge Organization,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Similarity and Dissimilarity
  • A Tree-Based Similarity for Evaluating Concept Proximities in an Ontology
  • Improved Fréchet Distance for Time Series
  • Comparison of Distance Indices Between Partitions
  • Design of Dissimilarity Measures: A New Dissimilarity Between Species Distribution Areas
  • Dissimilarities for Web Usage Mining
  • Properties and Performance of Shape Similarity Measures
  • Classification and Clustering
  • Hierarchical Clustering for Boxplot Variables
  • Evaluation of Allocation Rules Under Some Cost Constraints
  • Crisp Partitions Induced by a Fuzzy Set
  • Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods
  • Model Selection for the Binary Latent Class Model: A Monte Carlo Simulation
  • Finding Meaningful and Stable Clusters Using Local Cluster Analysis
  • Comparing Optimal Individual and Collective Assessment Procedures
  • Network and Graph Analysis
  • Some Open Problem Sets for Generalized Blockmodeling
  • Spectral Clustering and Multidimensional Scaling: A Unified View
  • Analyzing the Structure of U.S. Patents Network
  • Identifying and Classifying Social Groups: A Machine Learning Approach
  • Analysis of Symbolic Data
  • Multidimensional Scaling of Histogram Dissimilarities
  • Dependence and Interdependence Analysis for Interval-Valued Variables
  • A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data
  • Symbolic Clustering of Large Datasets
  • A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data
  • General Data Analysis Methods
  • Iterated Boosting for Outlier Detection
  • Sub-species of Homopus Areolatus? Biplots and Small Class Inference with Analysis of Distance
  • Revised Boxplot Based Discretization as the Kernel of Automatic Interpretation of Classes Using Numerical Variables
  • Data and Web Mining
  • Comparison of Two Methods for Detecting and Correcting Systematic Error in High-throughput Screening Data
  • kNN Versus SVM in the Collaborative Filtering Framework
  • Mining Association Rules in Folksonomies
  • Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data
  • Patterns of Associations in Finite Sets of Items
  • Analysis of Music Data
  • Generalized N-gram Measures for Melodic Similarity
  • Evaluating Different Approaches to Measuring the Similarity of Melodies
  • Using MCMC as a Stochastic Optimization Procedure for Musical Time Series
  • Local Models in Register Classification by Timbre
  • Gene and Microarray Analysis
  • Improving the Performance of Principal Components for Classification of Gene Expression Data Through Feature Selection
  • A New Efficient Method for Assessing Missing Nucleotides in DNA Sequences in the Framework of a Generic Evolutionary Model
  • New Efficient Algorithm for Modeling Partial and Complete Gene Transfer Scenarios.