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Big Data Analytics and Knowledge Discovery

Overview of attention for book
Cover of 'Big Data Analytics and Knowledge Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting the Onset of Machine Failure Using Anomaly Detection Methods
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    Chapter 2 A Hybrid Architecture for Tactical and Strategic Precision Agriculture
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    Chapter 3 Urban Analytics of Big Transportation Data for Supporting Smart Cities
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    Chapter 4 Frequent Item Mining When Obtaining Support Is Costly
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    Chapter 5 Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation
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    Chapter 6 Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences
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    Chapter 7 Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAP
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    Chapter 8 Statistically Significant Discriminative Patterns Searching
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    Chapter 9 Multidimensional Integration of RDF Datasets
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    Chapter 10 RDFPartSuite: Bridging Physical and Logical RDF Partitioning
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    Chapter 11 Mining Quantitative Temporal Dependencies Between Interval-Based Streams
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    Chapter 12 Democratization of OLAP DSMS
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    Chapter 13 Leveraging the Data Lake: Current State and Challenges
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    Chapter 14 SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop
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    Chapter 15 Improved Programming-Language Independent MapReduce on Shared-Memory Systems
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    Chapter 16 Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses
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    Chapter 17 Scalable Least Square Twin Support Vector Machine Learning
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    Chapter 18 Finding Strongly Correlated Trends in Dynamic Attributed Graphs
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    Chapter 19 Text-Based Event Detection: Deciphering Date Information Using Graph Embeddings
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    Chapter 20 Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs
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    Chapter 21 From Conceptual to Logical ETL Design Using BPMN and Relational Algebra
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    Chapter 22 Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store
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Citations

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Title
Big Data Analytics and Knowledge Discovery
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-27520-4
ISBNs
978-3-03-027519-8, 978-3-03-027520-4
Editors

Carlos Ordonez, Il-Yeol Song, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil

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X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Other 1 8%
Unknown 9 75%
Readers by discipline Count As %
Computer Science 3 25%
Unknown 9 75%