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Data Mining and Big Data

Overview of attention for book
Cover of 'Data Mining and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Evolutionary Computation and Big Data: Key Challenges and Future Directions
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    Chapter 2 Prospects and Challenges in Online Data Mining
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    Chapter 3 Enhance AdaBoost Algorithm by Integrating LDA Topic Model
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    Chapter 4 An Improved Algorithm for MicroRNA Profiling from Next Generation Sequencing Data
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    Chapter 5 Utilising the Cross Industry Standard Process for Data Mining to Reduce Uncertainty in the Measurement and Verification of Energy Savings
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    Chapter 6 Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts
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    Chapter 7 Model Proposal of Knowledge Management for Technology Based Companies
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    Chapter 8 Oracle and Vertica for Frequent Itemset Mining
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    Chapter 9 Reconstructing Positive Surveys from Negative Surveys with Background Knowledge
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    Chapter 10 Application of the Spatial Data Mining Methodology and Gamification for the Optimisation of Solving the Transport Issues of the “Varsovian Mordor”
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    Chapter 11 A Geo-Social Data Model for Moving Objects
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    Chapter 12 Optimization on Arrangement of Precaution Areas Serving for Ships’ Routeing in the Taiwan Strait Based on Massive AIS Data
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    Chapter 13 Bulk Price Forecasting Using Spark over NSE Data Set
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    Chapter 14 Prediction and Survival Analysis of Patients After Liver Transplantation Using RBF Networks
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    Chapter 15 Link Prediction by Utilizing Correlations Between Link Types and Path Types in Heterogeneous Information Networks
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    Chapter 16 Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems
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    Chapter 17 Range Prediction Models for E-Vehicles in Urban Freight Logistics Based on Machine Learning
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    Chapter 18 Partitioning Based N-Gram Feature Selection for Malware Classification
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    Chapter 19 A Supervised Biclustering Optimization Model for Feature Selection in Biomedical Dataset Classification
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    Chapter 20 Term Space Partition Based Ensemble Feature Construction for Spam Detection
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    Chapter 21 Term Extraction from German Computer Science Textbooks
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    Chapter 22 An FW-DTSS Based Approach for News Page Information Extraction
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    Chapter 23 A Linear Regression Approach to Multi-criteria Recommender System
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    Chapter 24 Classification of Power Quality Disturbances Using Forest Algorithm
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    Chapter 25 A Sequential k-Nearest Neighbor Classification Approach for Data-Driven Fault Diagnosis Using Distance- and Density-Based Affinity Measures
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    Chapter 26 A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification
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    Chapter 27 Mining Best Strategy for Multi-view Classification
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    Chapter 28 Detecting Variable Length Anomaly Patterns in Time Series Data
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    Chapter 29 Bigger Data Is Better for Molecular Diagnosis Tests Based on Decision Trees
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    Chapter 30 Waiting Time Screening in Diagnostic Medical Imaging – A Case-Based View
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    Chapter 31 Real-Time Data Analytics: An Algorithmic Perspective
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    Chapter 32 High-Dimensional Data Visualization Based on User Knowledge
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    Chapter 33 A Data Mining and Visual Analytics Perspective on Sustainability-Oriented Infrastructure Planning
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    Chapter 34 Visual Interactive Approach for Mining Twitter’s Networks
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    Chapter 35 Key Indicators for Data Sharing - In Relation with Digital Services
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    Chapter 36 Efficient Probabilistic Methods for Proof of Possession in Clouds
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    Chapter 37 Cloud-Based Storage Model with Strong User Privacy Assurance
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    Chapter 38 The Role of Social Media in Innovation and Creativity: The Case of Chinese Social Media
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    Chapter 39 Malay Word Stemmer to Stem Standard and Slang Word Patterns on Social Media
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    Chapter 40 Two-Phase Computing Model for Chinese Microblog Sentimental Analysis
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    Chapter 41 Local Community Detection Based on Bridges Ideas
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    Chapter 42 Environment for Data Transfer Measurement
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    Chapter 43 Ant Colony-Based Approach for Query Optimization
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    Chapter 44 A Range Query Processing Algorithm Hiding Data Access Patterns in Outsourced Database Environment
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    Chapter 45 Big Data Tools: Haddop, MongoDB and Weka
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    Chapter 46 Big Data Meaning in the Architecture of IoT for Smart Cities
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    Chapter 47 Linear TV Recommender Through Big Data
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    Chapter 48 Data Models in NoSQL Databases for Big Data Contexts
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    Chapter 49 Probabilistic Mining in Large Transaction Databases
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    Chapter 50 A First Attempt on Online Data Stream Classifier Using Context
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    Chapter 51 An Effective Semi-analytic Algorithm for Solving Helmholtz Equation in 1-D
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    Chapter 52 Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis
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    Chapter 53 Industrial Internet of Things: An Architecture Prototype for Monitoring in Confined Spaces Using a Raspberry Pi
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    Chapter 54 Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces
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    Chapter 55 Fingerprint Reference Point Detection Based on High Curvature Points
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    Chapter 56 Study of the Harmonic Distortion (THD) and Power Factor Oriented to the Luminaries Used in the Traffic Light System of Bogotá City, Colombia
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    Chapter 57 Extraction of Dynamic Nonnegative Features from Multidimensional Nonstationary Signals
Overall attention for this book and its chapters
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Mentioned by

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1 X user
wikipedia
3 Wikipedia pages

Citations

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9 Dimensions

Readers on

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259 Mendeley
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Title
Data Mining and Big Data
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-40973-3
ISBNs
978-3-31-940973-3, 978-3-31-940972-6
Editors

Ying Tan, Yuhui Shi

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Canada 1 <1%
Unknown 256 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 57 22%
Student > Ph. D. Student 46 18%
Student > Bachelor 24 9%
Researcher 21 8%
Student > Doctoral Student 16 6%
Other 36 14%
Unknown 59 23%
Readers by discipline Count As %
Computer Science 97 37%
Engineering 35 14%
Business, Management and Accounting 17 7%
Social Sciences 12 5%
Mathematics 5 2%
Other 28 11%
Unknown 65 25%

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