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Advanced Data Mining and Applications

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Cover of 'Advanced Data Mining and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Leave or Stay: The Departure Dynamics of Wikipedia Editors
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    Chapter 2 Cross-Modal Information Retrieval – A Case Study on Chinese Wikipedia
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    Chapter 3 Unsupervised Learning Chinese Sentiment Lexicon from Massive Microblog Data
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    Chapter 4 Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets
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    Chapter 5 Constrained Spectral Clustering Using Absorbing Markov Chains
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    Chapter 6 Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework
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    Chapter 7 Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features
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    Chapter 8 Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links
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    Chapter 9 Mining Fuzzy Moving Object Clusters
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    Chapter 10 Exemplars-Constraints for Semi-supervised Clustering
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    Chapter 11 Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm
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    Chapter 12 A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks
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    Chapter 13 A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition
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    Chapter 14 Sparse Boosting with Correlation Based Penalty
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    Chapter 15 Learning from Multiple Naive Annotators
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    Chapter 16 Query by Committee in a Heterogeneous Environment
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    Chapter 17 Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications
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    Chapter 18 A New Multi-label Learning Algorithm Using Shelly Neighbors
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    Chapter 19 Kernel Mean Matching with a Large Margin
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    Chapter 20 Properly and Automatically Naming Java Methods: A Machine Learning Based Approach
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    Chapter 21 Advanced Data Mining and Applications
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    Chapter 22 Semi-naive Bayesian Classification by Weighted Kernel Density Estimation
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    Chapter 23 Spectral Clustering-Based Semi-supervised Sentiment Classification
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    Chapter 24 Automatic Filtering of Valuable Features for Text Categorization
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    Chapter 25 A Feature Selection Method for Improved Document Classification
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    Chapter 26 An Ensemble Approach to Multi-label Classification of Textual Data
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    Chapter 27 Hierarchical Text Classification for News Articles Based-on Named Entities
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    Chapter 28 Document-Level Sentiment Classification Based on Behavior-Knowledge Space Method
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    Chapter 29 NAP-SC: A Neural Approach for Prediction over Sparse Cubes
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    Chapter 30 Semi-supervised Gaussian Process Regression and Its Feedback Design
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    Chapter 31 A Graph-Based Churn Prediction Model for Mobile Telecom Networks
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    Chapter 32 Facial Action Unit and Emotion Recognition with Head Pose Variations
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    Chapter 33 Use of Supervised Learning to Predict Directionality of Links in a Network
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    Chapter 34 Predicting Driving Direction with Weighted Markov Model
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    Chapter 35 Pattern Mining, Semantic Label Identification and Movement Prediction Using Mobile Phone Data
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    Chapter 36 Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction
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    Chapter 37 Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation
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    Chapter 38 Fast Nyström for Low Rank Matrix Approximation
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    Chapter 39 An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm
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    Chapter 40 Towards Normalizing the Edit Distance Using a Genetic Algorithms–Based Scheme
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    Chapter 41 PCG: An Efficient Method for Composite Pattern Matching over Data Streams
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    Chapter 42 Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data
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    Chapter 43 Stock Trend Extraction via Matrix Factorization
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    Chapter 44 Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis
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    Chapter 45 Automated Web Data Mining Using Semantic Analysis
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    Chapter 46 Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities
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    Chapter 47 Summarizing Semantic Associations Based on Focused Association Graph
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    Chapter 48 News Sentiment Analysis Based on Cross-Domain Sentiment Word Lists and Content Classifiers
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    Chapter 49 Integrating Data Mining and Optimization Techniques on Surgery Scheduling
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    Chapter 50 Using Data Mining for Static Code Analysis of C
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    Chapter 51 Fraud Detection in B2B Platforms Using Data Mining Techniques
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    Chapter 52 Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database
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    Chapter 53 Keyword Graph: Answering Keyword Search over Large Graphs
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    Chapter 54 Medical Image Retrieval Method Based on Relevance Feedback
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    Chapter 55 Personalized Diversity Search Based on User’s Social Relationships
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    Chapter 56 Towards a Tricksy Group Shilling Attack Model against Recommender Systems
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    Chapter 57 Topic-Centric Recommender Systems for Bibliographic Datasets
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    Chapter 58 Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving
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    Chapter 59 Modeling Outlier Score Distributions
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    Chapter 60 A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines
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    Chapter 61 Residual Belief Propagation for Topic Modeling
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    Chapter 62 The Author-Topic-Community Model: A Generative Model Relating Authors’ Interests and Their Community Structure
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    Chapter 63 Constrained Closed Non Derivable Data Cubes
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    Chapter 64 VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams
Attention for Chapter 46: Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities
Chapter number 46
Book title
Advanced Data Mining and Applications
Published by
Springer, Berlin, Heidelberg, December 2012
DOI 10.1007/978-3-642-35527-1_46
Book ISBNs
978-3-64-235526-4, 978-3-64-235527-1
Authors

Wenwen Li, Michael F. Goodchild, Richard L. Church, Bin Zhou

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 18%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Professor > Associate Professor 2 12%
Researcher 2 12%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 9 53%
Business, Management and Accounting 1 6%
Unspecified 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Other 0 0%
Unknown 4 24%

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