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Big Data Analytics and Knowledge Discovery

Overview of attention for book
Big Data Analytics and Knowledge Discovery
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Graph BI & Analytics: Current State and Future Challenges
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    Chapter 2 Community Detection in Who-calls-Whom Social Networks
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    Chapter 3 FedS: Towards Traversing Federated RDF Graphs
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    Chapter 4 Adversarial Spiral Learning Approach to Strain Analysis for Bridge Damage Detection
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    Chapter 5 CoRe: Generating a Computationally Representative Road Skeleton - Integrating AADT with Road Structure
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    Chapter 6 E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data
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    Chapter 7 Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities
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    Chapter 8 Location Prediction Using Sentiments of Twitter Users
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    Chapter 9 A Clustering Model for Uncertain Preferences Based on Belief Functions
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    Chapter 10 A Novel Committee–Based Clustering Method
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    Chapter 11 KMN - Removing Noise from K-Means Clustering Results
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    Chapter 12 Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification
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    Chapter 13 Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix
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    Chapter 14 An Efficient Prototype Selection Algorithm Based on Spatial Abstraction
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    Chapter 15 Web Usage Data Cleaning
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    Chapter 16 Anonymization of Multiple and Personalized Sensitive Attributes
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    Chapter 17 TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables
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    Chapter 18 Discovering Periodic Patterns Common to Multiple Sequences
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    Chapter 19 Discovering Tight Space-Time Sequences
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    Chapter 20 CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases
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    Chapter 21 Query Processing on Large Graphs: Scalability Through Partitioning
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    Chapter 22 Querying Heterogeneous Data in Graph-Oriented NoSQL Systems
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    Chapter 23 Selection of Bitmap Join Index: Approach Based on Minimal Transversals
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    Chapter 24 Scalable Random Sampling K-Prototypes Using Spark
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    Chapter 25 ERAPN, an Algorithm for Extraction Positive and Negative Association Rules in Big Data
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    Chapter 26 Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches
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    Chapter 27 Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms
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    Chapter 28 Time Series Distance Density Cluster with Statistical Preprocessing
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    Chapter 29 Debate Stance Classification Using Word Embeddings
Overall attention for this book and its chapters
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Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Readers on

mendeley
4 Mendeley
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Title
Big Data Analytics and Knowledge Discovery
Published by
Springer International Publishing, September 2018
DOI 10.1007/978-3-319-98539-8
ISBNs
978-3-31-998538-1, 978-3-31-998539-8
Editors

Ordonez, Carlos, Bellatreche, Ladjel

Timeline

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Bachelor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%