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Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

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    Book Overview
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    Chapter 1 Resolution Transfer in Cancer Classification Based on Amplification Patterns
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    Chapter 2 Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning
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    Chapter 3 Discovery of Parameters for Animation of Midge Swarms
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    Chapter 4 No Sentiment is an Island:
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    Chapter 5 Active Learning for Classifying Template Matches in Historical Maps
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    Chapter 6 An Evaluation of Score Descriptors Combined with Non-linear Models of Expressive Dynamics in Music
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    Chapter 7 Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis
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    Chapter 8 Discovery Science
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    Chapter 9 Ensembles of Extremely Randomized Trees for Multi-target Regression
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    Chapter 10 Clustering-Based Optimised Probabilistic Active Learning (COPAL)
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    Chapter 11 Predictive Analysis on Tracking Emails for Targeted Marketing
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    Chapter 12 Semi-supervised Learning for Stream Recommender Systems
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    Chapter 13 Detecting Transmembrane Proteins Using Decision Trees
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    Chapter 14 Change Point Detection for Information Diffusion Tree
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    Chapter 15 Multi-label Classification via Multi-target Regression on Data Streams
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    Chapter 16 Periodical Skeletonization for Partially Periodic Pattern Mining
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    Chapter 17 Predicting Drugs Adverse Side-Effects Using a Recommender-System
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    Chapter 18 Dr. Inventor Framework: Extracting Structured Information from Scientific Publications
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    Chapter 19 Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel
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    Chapter 20 Hierarchical Multidimensional Classification of Web Documents with MultiWebClass
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    Chapter 21 Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets
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    Chapter 22 On the Feasibility of Discovering Meta-Patterns from a Data Ensemble
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    Chapter 23 An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network
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    Chapter 24 Benchmarking Stream Clustering for Churn Detection in Dynamic Networks
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    Chapter 25 Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface
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    Chapter 26 KeCo: Kernel-Based Online Co-agreement Algorithm
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    Chapter 27 Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees
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    Chapter 28 Enumerating Maximal Clique Sets with Pseudo-Clique Constraint
Overall attention for this book and its chapters
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Mentioned by

26 tweeters

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24 Mendeley
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Discovery Science
Published by
Springer International Publishing, September 2015
DOI 10.1007/978-3-319-24282-8
978-3-31-924281-1, 978-3-31-924282-8

Japkowicz, Nathalie, Matwin, Stan

Twitter Demographics

The data shown below were collected from the profiles of 26 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 %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 4%
Unknown 23 96%
Readers by discipline Count As %
Engineering 1 4%
Unknown 23 96%