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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
Attention for Chapter 22: Forward Classification on Data Streams
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Chapter title
Forward Classification on Data Streams
Chapter number 22
Book title
Advances in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-06608-0_22
Book ISBNs
978-3-31-906607-3, 978-3-31-906608-0
Authors

Peng Wang, Peng Zhang, Yanan Cao, Li Guo, Bingxing Fang, Wang, Peng, Zhang, Peng, Cao, Yanan, Guo, Li, Fang, Bingxing

Editors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%