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Advances in Knowledge Discovery and Data Mining

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Table of Contents

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    Book Overview
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    Chapter 1 MalSpot: Multi2 Malicious Network Behavior Patterns Analysis
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    Chapter 2 Extracting Diverse Patterns with Unbalanced Concept Hierarchy
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    Chapter 3 Efficiently Depth-First Minimal Pattern Mining
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    Chapter 4 Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information
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    Chapter 5 Balancing the Analysis of Frequent Patterns
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    Chapter 6 Balanced Seed Selection for Budgeted Influence Maximization in Social Networks
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    Chapter 7 Advances in Knowledge Discovery and Data Mining
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    Chapter 8 Detecting and Analyzing Influenza Epidemics with Social Media in China
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    Chapter 9 Analyzing Location Predictability on Location-Based Social Networks
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    Chapter 10 ReadBehavior: Reading Probabilities Modeling of Tweets via the Users’ Retweeting Behaviors
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    Chapter 11 Inferring Strange Behavior from Connectivity Pattern in Social Networks
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    Chapter 12 Inferring Attitude in Online Social Networks Based on Quadratic Correlation
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    Chapter 13 Hash-Based Stream LDA: Topic Modeling in Social Streams
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    Chapter 14 Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter
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    Chapter 15 Latent Features Based Prediction on New Users’ Tastes
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    Chapter 16 Supervised Nonlinear Factorizations Excel In Semi-supervised Regression
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    Chapter 17 Learning from Crowds under Experts’ Supervision
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    Chapter 18 A Robust Classifier for Imbalanced Datasets
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    Chapter 19 Signed-Error Conformal Regression
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    Chapter 20 Advances in Knowledge Discovery and Data Mining
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    Chapter 21 Mining Contrast Subspaces
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    Chapter 22 Forward Classification on Data Streams
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    Chapter 23 Shingled Graph Disassembly: Finding the Undecideable Path
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    Chapter 24 Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification
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    Chapter 25 Ranking Tweets with Local and Global Consistency Using Rich Features
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    Chapter 26 Fast Triangle Core Decomposition for Mining Large Graphs
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    Chapter 27 Super-Graph Classification
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    Chapter 28 Subtopic Mining via Modifier Graph Clustering
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    Chapter 29 Advances in Knowledge Discovery and Data Mining
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    Chapter 30 Advances in Knowledge Discovery and Data Mining
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    Chapter 31 Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks
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    Chapter 32 Advances in Knowledge Discovery and Data Mining
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    Chapter 33 Overlapping Communities for Identifying Misbehavior in Network Communications
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    Chapter 34 Fault-Tolerant Concept Detection in Information Networks
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    Chapter 35 Characterizing Temporal Anomalies in Evolving Networks
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    Chapter 36 An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification
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    Chapter 37 Programmatic Buying Bidding Strategies with Win Rate and Winning Price Estimation in Real Time Mobile Advertising
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    Chapter 38 Self-training Temporal Dynamic Collaborative Filtering
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    Chapter 39 Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation
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    Chapter 40 A Graph Matching Method for Historical Census Household Linkage
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    Chapter 41 Intervention-Driven Predictive Framework for Modeling Healthcare Data
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    Chapter 42 Visual Analysis of Uncertainty in Trajectories
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    Chapter 43 Activity Recognition Using a Few Label Samples
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    Chapter 44 A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers’ Flow Prediction after Train Accidents
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    Chapter 45 Patent Evaluation Based on Technological Trajectory Revealed in Relevant Prior Patents
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    Chapter 46 Deferentially Private Tagging Recommendation Based on Topic Model
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    Chapter 47 Matrix Factorization without User Data Retention
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    Chapter 48 Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing
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    Chapter 49 Privacy Preserving Publication of Locations Based on Delaunay Triangulation
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    Chapter 50 Advances in Knowledge Discovery and Data Mining
Overall attention for this book and its chapters
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Mentioned by

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2 tweeters

Citations

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2 Dimensions

Readers on

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24 Mendeley
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Title
Advances in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, May 2014
DOI 10.1007/978-3-319-06608-0
ISBNs
978-3-31-906607-3, 978-3-31-906608-0
Editors

Tseng, Vincent S., Ho, Tu Bao, Zhou, Zhi-Hua, Chen, Arbee L. P., Kao, Hung-Yu

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 8%
Unknown 22 92%
Readers by discipline Count As %
Computer Science 1 4%
Social Sciences 1 4%
Unknown 22 92%