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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 Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint
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    Chapter 2 Big Data Analytics and Knowledge Discovery
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    Chapter 3 A Rough Connectedness Algorithm for Mining Communities in Complex Networks
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    Chapter 4 Mining User Trajectories from Smartphone Data Considering Data Uncertainty
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    Chapter 5 A Heterogeneous Clustering Approach for Human Activity Recognition
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    Chapter 6 SentiLDA — An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data
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    Chapter 7 Mining Data Streams with Dynamic Confidence Intervals
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    Chapter 8 Evaluating Top-K Approximate Patterns via Text Clustering
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    Chapter 9 A Heuristic Approach for On-line Discovery of Unidentified Spatial Clusters from Grid-Based Streaming Algorithms
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    Chapter 10 An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets
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    Chapter 11 A Maximum Dimension Partitioning Approach for Efficiently Finding All Similar Pairs
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    Chapter 12 Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users
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    Chapter 13 Online Anomaly Energy Consumption Detection Using Lambda Architecture
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    Chapter 14 Large Scale Indexing and Searching Deep Convolutional Neural Network Features
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    Chapter 15 A Web Search Enhanced Feature Extraction Method for Aspect-Based Sentiment Analysis for Turkish Informal Texts
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    Chapter 16 Keyboard Usage Authentication Using Time Series Analysis
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    Chapter 17 A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts
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    Chapter 18 A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels
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    Chapter 19 XSX: Lightweight Encryption for Data Warehousing Environments
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    Chapter 20 Rule-Based Multidimensional Data Quality Assessment Using Contexts
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    Chapter 21 Plan Before You Execute: A Cost-Based Query Optimizer for Attributed Graph Databases
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    Chapter 22 Ontology-Based Trajectory Data Warehouse Conceptual Model
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    Chapter 23 Discovery, Enrichment and Disambiguation of Acronyms
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    Chapter 24 A Value-Added Approach to Design BI Applications
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    Chapter 25 Towards Semantification of Big Data Technology
Overall attention for this book and its chapters
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Mentioned by

news
1 news outlet
wikipedia
3 Wikipedia pages

Citations

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1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Big Data Analytics and Knowledge Discovery
Published by
Springer International Publishing, August 2016
DOI 10.1007/978-3-319-43946-4
ISBNs
978-3-31-943945-7, 978-3-31-943946-4
Editors

Madria, Sanjay, Hara, Takahiro

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Engineering 2 33%
Unknown 1 17%