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Advances in Knowledge Discovery and Data Mining

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Empower People with Knowledge: The Next Frontier for Web Search
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    Chapter 2 Discovery of Patterns in Global Earth Science Data Using Data Mining
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    Chapter 3 Game Theoretic Approaches to Knowledge Discovery and Data Mining
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    Chapter 4 A Set Correlation Model for Partitional Clustering
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    Chapter 5 iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment
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    Chapter 6 A Robust Seedless Algorithm for Correlation Clustering
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    Chapter 7 Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
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    Chapter 8 Data Transformation for Sum Squared Residue
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    Chapter 9 A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
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    Chapter 10 Mining Antagonistic Communities from Social Networks
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    Chapter 11 As Time Goes by: Discovering Eras in Evolving Social Networks
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    Chapter 12 Online Sampling of High Centrality Individuals in Social Networks
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    Chapter 13 Estimate on Expectation for Influence Maximization in Social Networks
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    Chapter 14 A Novel Scalable Multi-class ROC for Effective Visualization and Computation
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    Chapter 15 Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL
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    Chapter 16 Rough Margin Based Core Vector Machine
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    Chapter 17 BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification
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    Chapter 18 A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification
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    Chapter 19 Hiding Emerging Patterns with Local Recoding Generalization
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    Chapter 20 Anonymizing Transaction Data by Integrating Suppression and Generalization
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    Chapter 21 Advances in Knowledge Discovery and Data Mining
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    Chapter 22 Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
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    Chapter 23 Privacy-Preserving Network Aggregation
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    Chapter 24 Multivariate Equi-width Data Swapping for Private Data Publication
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    Chapter 25 Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
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    Chapter 26 Mining Trajectory Corridors Using Fréchet Distance and Meshing Grids
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    Chapter 27 Subseries Join: A Similarity-Based Time Series Match Approach
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    Chapter 28 TWave: High-Order Analysis of Spatiotemporal Data
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    Chapter 29 Spatial Clustering with Obstacles Constraints by Dynamic Piecewise-Mapped and Nonlinear Inertia Weights PSO
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    Chapter 30 An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns
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    Chapter 31 Valency Based Weighted Association Rule Mining
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    Chapter 32 Ranking Sequential Patterns with Respect to Significance
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    Chapter 33 Mining Association Rules in Long Sequences
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    Chapter 34 Mining Closed Episodes from Event Sequences Efficiently
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    Chapter 35 Most Significant Substring Mining Based on Chi-square Measure
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    Chapter 36 Probabilistic User Modeling in the Presence of Drifting Concepts
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    Chapter 37 Using Association Rules to Solve the Cold-Start Problem in Recommender Systems
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    Chapter 38 Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
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    Chapter 39 Cost-Sensitive Listwise Ranking Approach
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    Chapter 40 Mining Wikipedia and Yahoo! Answers for Question Expansion in Opinion QA
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    Chapter 41 Answer Diversification for Complex Question Answering on the Web
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    Chapter 42 Vocabulary Filtering for Term Weighting in Archived Question Search
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    Chapter 43 On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
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    Chapter 44 Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression
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    Chapter 45 Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
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    Chapter 46 Efficient Deep Web Crawling Using Reinforcement Learning
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    Chapter 47 Topic Decomposition and Summarization
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    Chapter 48 UNN: A Neural Network for Uncertain Data Classification
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    Chapter 49 SkyDist: Data Mining on Skyline Objects
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    Chapter 50 Multi-Source Skyline Queries Processing in Multi-Dimensional Space
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    Chapter 51 Efficient Pattern Mining of Uncertain Data with Sampling
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    Chapter 52 Classifier Ensemble for Uncertain Data Stream Classification
Attention for Chapter 49: SkyDist: Data Mining on Skyline Objects
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Chapter title
SkyDist: Data Mining on Skyline Objects
Chapter number 49
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer, Berlin, Heidelberg, June 2010
DOI 10.1007/978-3-642-13657-3_49
Book ISBNs
978-3-64-213656-6, 978-3-64-213657-3
Authors

Christian Böhm, Annahita Oswald, Claudia Plant, Michael Plavinski, Bianca Wackersreuther

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 8%
Sweden 1 8%
Denmark 1 8%
Unknown 9 75%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 25%
Researcher 3 25%
Student > Master 2 17%
Professor 2 17%
Student > Ph. D. Student 1 8%
Other 1 8%
Readers by discipline Count As %
Computer Science 7 58%
Engineering 2 17%
Linguistics 1 8%
Unknown 2 17%