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Machine Learning and Knowledge Discovery in Databases

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Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
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    Chapter 2 Unsupervised Trajectory Sampling
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    Chapter 3 Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations
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    Chapter 4 Machine Learning and Knowledge Discovery in Databases
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    Chapter 5 Learning with Ensembles of Randomized Trees : New Insights
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    Chapter 6 Entropy and Margin Maximization for Structured Output Learning
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    Chapter 7 Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
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    Chapter 8 Adapting Decision DAGs for Multipartite Ranking
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    Chapter 9 Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs
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    Chapter 10 Modeling Relations and Their Mentions without Labeled Text
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    Chapter 11 An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery
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    Chapter 12 Selecting Information Diffusion Models over Social Networks for Behavioral Analysis
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    Chapter 13 Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
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    Chapter 14 Online Structural Graph Clustering Using Frequent Subgraph Mining
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    Chapter 15 Large-Scale Support Vector Learning with Structural Kernels
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    Chapter 16 Synchronization Based Outlier Detection
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    Chapter 17 Laplacian Spectrum Learning
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    Chapter 18 k-Version-Space Multi-class Classification Based on k-Consistency Tests
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    Chapter 19 Complexity Bounds for Batch Active Learning in Classification
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    Chapter 20 Semi-supervised Projection Clustering with Transferred Centroid Regularization
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    Chapter 21 Permutation Testing Improves Bayesian Network Learning
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    Chapter 22 Example-dependent Basis Vector Selection for Kernel-Based Classifiers
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    Chapter 23 Surprising Patterns for the Call Duration Distribution of Mobile Phone Users
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    Chapter 24 Variational Bayesian Mixture of Robust CCA Models
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    Chapter 25 Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis
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    Chapter 26 Topic Models Conditioned on Relations
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    Chapter 27 Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
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    Chapter 28 Nonparametric Bayesian Clustering Ensembles
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    Chapter 29 Directed Graph Learning via High-Order Co-linkage Analysis
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    Chapter 30 Incorporating Domain Models into Bayesian Optimization for RL
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    Chapter 31 Efficient and Numerically Stable Sparse Learning
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    Chapter 32 Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
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    Chapter 33 Many-to-Many Graph Matching: A Continuous Relaxation Approach
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    Chapter 34 Competitive Online Generalized Linear Regression under Square Loss
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    Chapter 35 Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
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    Chapter 36 Fast, Effective Molecular Feature Mining by Local Optimization
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    Chapter 37 AnswerArt - Contextualized Question Answering
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    Chapter 38 Real-Time News Recommender System
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    Chapter 39 Machine Learning and Knowledge Discovery in Databases
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    Chapter 40 NewsGist: A Multilingual Statistical News Summarizer
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    Chapter 41 QUEST: Query Expansion Using Synonyms over Time
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    Chapter 42 Flu Detector - Tracking Epidemics on Twitter
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    Chapter 43 X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction
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    Chapter 44 SOREX: Subspace Outlier Ranking Exploration Toolkit
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    Chapter 45 KDTA: Automated Knowledge-Driven Text Annotation
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    Chapter 46 Machine Learning and Knowledge Discovery in Databases
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    Chapter 47 Experience STORIES: A Visual News Search and Summarization System
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    Chapter 48 Exploring Real Mobility Data with M-Atlas
Attention for Chapter 38: Real-Time News Recommender System
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Citations

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Readers on

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Chapter title
Real-Time News Recommender System
Chapter number 38
Book title
Machine Learning and Knowledge Discovery in Databases
Published in
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-15939-8_38
Book ISBNs
978-3-64-215938-1, 978-3-64-215939-8
Authors

Blaž Fortuna, Carolina Fortuna, Dunja Mladenić, Fortuna, Blaž, Fortuna, Carolina, Mladenić, Dunja

Editors

José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
Ireland 1 2%
Slovakia 1 2%
Slovenia 1 2%
China 1 2%
Unknown 54 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 27%
Student > Ph. D. Student 15 25%
Researcher 5 8%
Student > Bachelor 4 7%
Professor 2 3%
Other 6 10%
Unknown 12 20%
Readers by discipline Count As %
Computer Science 36 60%
Business, Management and Accounting 4 7%
Philosophy 1 2%
Unspecified 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 16 27%