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Advances in Knowledge Discovery and Data Mining, Part II

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Cover of 'Advances in Knowledge Discovery and Data Mining, Part II'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization
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    Chapter 2 Distributed Knowledge Discovery with Non Linear Dimensionality Reduction
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    Chapter 3 DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud
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    Chapter 4 An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA
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    Chapter 5 Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data
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    Chapter 6 Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis
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    Chapter 7 Satrap: Data and Network Heterogeneity Aware P2P Data-Mining
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    Chapter 8 Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)
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    Chapter 9 Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure
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    Chapter 10 A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K ≥ 1
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    Chapter 11 Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition
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    Chapter 12 Learning Gradients with Gaussian Processes
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    Chapter 13 Analyzing the role of dimension arrangement for data visualization in radviz
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    Chapter 14 Subgraph Mining on Directed and Weighted Graphs
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    Chapter 15 Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
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    Chapter 16 A Framework for SQL-Based Mining of Large Graphs on Relational Databases
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    Chapter 17 Fast Discovery of Reliable k-terminal Subgraphs
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    Chapter 18 GTRACE2: Improving Performance Using Labeled Union Graphs
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    Chapter 19 Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering
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    Chapter 20 Rule Synthesizing from Multiple Related Databases
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    Chapter 21 Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering
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    Chapter 22 Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures
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    Chapter 23 Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models
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    Chapter 24 Opinion-Based Imprecise Query Answering
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    Chapter 25 Blog Opinion Retrieval Based on Topic-Opinion Mixture Model
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    Chapter 26 Feature Subsumption for Sentiment Classification in Multiple Languages
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    Chapter 27 Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents
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    Chapter 28 Classification and Pattern Discovery of Mood in Weblogs
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    Chapter 29 Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic
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    Chapter 30 Fast Perceptron Decision Tree Learning from Evolving Data Streams
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    Chapter 31 Classification and Novel Class Detection in Data Streams with Active Mining
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    Chapter 32 Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification
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    Chapter 33 Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
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    Chapter 34 Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams
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    Chapter 35 Subsequence Matching of Stream Synopses under the Time Warping Distance
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    Chapter 36 Normalized Kernels as Similarity Indices
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    Chapter 37 Adaptive Matching Based Kernels for Labelled Graphs
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    Chapter 38 A New Framework for Dissimilarity and Similarity Learning
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    Chapter 39 Semantic-Distance Based Clustering for XML Keyword Search
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    Chapter 40 oddball: Spotting Anomalies in Weighted Graphs
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    Chapter 41 Robust Outlier Detection Using Commute Time and Eigenspace Embedding
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    Chapter 42 EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs
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    Chapter 43 BASSET: Scalable Gateway Finder in Large Graphs
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    Chapter 44 Ensemble Learning Based on Multi-Task Class Labels
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    Chapter 45 Supervised Learning with Minimal Effort
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    Chapter 46 Generating Diverse Ensembles to Counter the Problem of Class Imbalance
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    Chapter 47 Relationship between Diversity and Correlation in Multi-Classifier Systems
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    Chapter 48 Compact Margin Machine
Attention for Chapter 13: Analyzing the role of dimension arrangement for data visualization in radviz
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Chapter title
Analyzing the role of dimension arrangement for data visualization in radviz
Chapter number 13
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer-Verlag, January 2010
DOI 10.1007/978-3-642-13672-6_13
Book ISBNs
978-3-64-213671-9, 978-3-64-213672-6

Luigi Di Caro, Vanessa Frias-Martinez, Enrique Frias-Martinez

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 4%
Germany 1 4%
Belgium 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 41%
Researcher 7 26%
Professor > Associate Professor 2 7%
Student > Bachelor 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 13 48%
Business, Management and Accounting 2 7%
Agricultural and Biological Sciences 2 7%
Earth and Planetary Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 5 19%
Unknown 2 7%