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Big Data Analytics and Knowledge Discovery

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Cover of 'Big Data Analytics and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 29: Debate Stance Classification Using Word Embeddings
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Chapter title
Debate Stance Classification Using Word Embeddings
Chapter number 29
Book title
Big Data Analytics and Knowledge Discovery
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-98539-8_29
Book ISBNs
978-3-31-998538-1, 978-3-31-998539-8
Authors

Anand Konjengbam, Subrata Ghosh, Nagendra Kumar, Manish Singh, Konjengbam, Anand, Ghosh, Subrata, Kumar, Nagendra, Singh, Manish

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Physics and Astronomy 1 20%
Unknown 2 40%