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Data Mining

Overview of attention for book
Cover of 'Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Misogynistic Tweet Detection: Modelling CNN with Small Datasets
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    Chapter 2 Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique
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    Chapter 4 SPAARC: A Fast Decision Tree Algorithm
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    Chapter 5 LCS Based Diversity Maintenance in Adaptive Genetic Algorithms
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    Chapter 6 Categorical Features Transformation with Compact One-Hot Encoder for Fraud Detection in Distributed Environment
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    Chapter 7 Combining Machine Learning and Statistical Disclosure Control to Promote Open Data
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    Chapter 8 Predicting Air Quality from Low-Cost Sensor Measurements
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    Chapter 9 An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities
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    Chapter 10 Applying Data Mining Methods to Generate Formative Feedback in Team Projects
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    Chapter 11 A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices
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    Chapter 12 A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating
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    Chapter 13 Homogeneous Feature Transfer and Heterogeneous Location Fine-Tuning for Cross-City Property Appraisal Framework
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    Chapter 14 Statistical Models of Dengue Fever
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    Chapter 15 Reference Values Based Hardening for Bloom Filters Based Privacy-Preserving Record Linkage
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    Chapter 16 Canopy-Based Private Blocking
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    Chapter 17 Community Aware Personalized Hashtag Recommendation in Social Networks
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    Chapter 18 Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network
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    Chapter 19 Taxonomy-Augmented Features for Document Clustering
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    Chapter 20 A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies
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    Chapter 21 Positive Data Kernel Density Estimation via the LogKDE Package for R
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    Chapter 22 The Role of Statistics Education in the Big Data Era
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    Chapter 23 Hierarchical Word Mover Distance for Collaboration Recommender System
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    Chapter 24 An Alternating Least Square Based Algorithm for Predicting Patient Survivability
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    Chapter 25 Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle
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    Chapter 26 Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones
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    Chapter 27 Retinal Blood Vessels Extraction of Challenging Images
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    Chapter 28 Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps
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    Chapter 29 Provenance Analysis for Instagram Photos
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    Chapter 30 How Learning Analytics Becomes a Bridge for Non-expert Data Miners: Impact on Higher Education Online Teaching
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Title
Data Mining
Published by
Springer Singapore, April 2019
DOI 10.1007/978-981-13-6661-1
ISBNs
978-9-81-136660-4, 978-9-81-136661-1
Editors

Islam, Rafiqul, Koh, Yun Sing, Zhao, Yanchang, Warwick, Graco, Stirling, David, Li, Chang-Tsun, Islam, Zahidul

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Researcher 2 15%
Student > Ph. D. Student 2 15%
Student > Doctoral Student 1 8%
Lecturer 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 5 38%
Mathematics 2 15%
Engineering 2 15%
Economics, Econometrics and Finance 1 8%
Unknown 3 23%