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Trends and Applications in Knowledge Discovery and Data Mining

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Cover of 'Trends and Applications in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 A Decision Tree Approach to Predicting Recidivism in Domestic Violence
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    Chapter 2 Unsupervised Domain Adaptation Dictionary Learning for Visual Recognition
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    Chapter 3 On the Large-Scale Transferability of Convolutional Neural Networks
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    Chapter 4 Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
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    Chapter 5 Impact of Indirect Contacts in Emerging Infectious Disease on Social Networks
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    Chapter 6 Interesting Recommendations Based on Hierarchical Visualizations of Medical Data
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    Chapter 7 Efficient Top K Temporal Spatial Keyword Search
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    Chapter 8 HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search
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    Chapter 9 A Hybrid Index Model for Efficient Spatio-Temporal Search in HBase
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    Chapter 10 Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions
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    Chapter 11 TwiTracker: Detecting and Extracting Events from Twitter for Entity Tracking
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    Chapter 12 Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA)
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    Chapter 13 A Differentially Private Method for Crowdsourcing Data Submission
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    Chapter 14 An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier
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    Chapter 15 Deep Learning for Classifying Malicious Network Traffic
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    Chapter 16 A Server Side Solution for Detecting WebInject: A Machine Learning Approach
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    Chapter 17 A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series
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    Chapter 18 A Transfer Metric Learning Method for Spammer Detection
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    Chapter 19 Dynamic Whitelisting Using Locality Sensitive Hashing
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    Chapter 20 Payload-Based Statistical Intrusion Detection for In-Vehicle Networks
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    Chapter 21 Discovering Strong Meta Association Rules Using Bees Swarm Optimization
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    Chapter 22 ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data
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    Chapter 23 Citation Field Learning by RNN with Limited Training Data
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    Chapter 24 Affine Transformation Capsule Net
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    Chapter 25 A Novel Algorithm for Frequent Itemsets Mining in Transactional Databases
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    Chapter 26 Rare-Events Classification: An Approach Based on Genetic Algorithm and Voronoi Tessellation
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    Chapter 27 Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator
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    Chapter 28 A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features
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    Chapter 29 Measuring Interpretability for Different Types of Machine Learning Models
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    Chapter 30 In Search of Public Agenda with Text Mining: An Exploratory Study of Agenda Setting Dynamics Between the Traditional Media and Wikipedia
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    Chapter 31 Modelling the Efficacy of Auto-Internet Warnings to Reduce Demand for Child Exploitation Materials
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    Chapter 32 Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction
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    Chapter 33 An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids
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    Chapter 34 Dam Inflow Time Series Regression Models Minimising Loss of Hydropower Opportunities
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Title
Trends and Applications in Knowledge Discovery and Data Mining
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-04503-6
ISBNs
978-3-03-004502-9, 978-3-03-004503-6
Editors

Ganji, Mohadeseh, Rashidi, Lida, Fung, Benjamin C. M., Wang, Can

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 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 > Ph. D. Student 7 41%
Student > Master 3 18%
Student > Bachelor 2 12%
Student > Postgraduate 1 6%
Unknown 4 24%
Readers by discipline Count As %
Computer Science 8 47%
Engineering 3 18%
Social Sciences 2 12%
Unknown 4 24%