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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
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Chapter title
Graph BI & Analytics: Current State and Future Challenges
Chapter number 1
Book title
Big Data Analytics and Knowledge Discovery
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-98539-8_1
Book ISBNs
978-3-31-998538-1, 978-3-31-998539-8
Authors

Amine Ghrab, Oscar Romero, Salim Jouili, Sabri Skhiri, Ghrab, Amine, Romero Moral, Óscar, Jouili, Salim, Skhiri, Sabri

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Student > Doctoral Student 2 22%
Professor 1 11%
Student > Ph. D. Student 1 11%
Lecturer 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 5 56%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Business, Management and Accounting 1 11%
Economics, Econometrics and Finance 1 11%
Engineering 1 11%
Other 0 0%