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Knowledge Science, Engineering and Management

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Cover of 'Knowledge Science, Engineering and Management'

Table of Contents

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    Book Overview
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    Chapter 1 Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations
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    Chapter 2 A Study of Distributed Semantic Representations for Automated Essay Scoring
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    Chapter 3 Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification
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    Chapter 4 An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis
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    Chapter 5 A Hidden Astroturfing Detection Approach Base on Emotion Analysis
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    Chapter 6 Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection
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    Chapter 7 A Fuzzy Logic Based Policy Negotiation Model
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    Chapter 8 f- $$\mathcal {ALC}$$ (D)-LTL: A Fuzzy Spatio-Temporal Description Logic
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    Chapter 9 R-Calculus for the Primitive Statements in Description Logic $$\mathcal{ALC}$$
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    Chapter 10 A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model
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    Chapter 11 A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds
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    Chapter 12 Analyzing Customer’s Product Preference Using Wireless Signals
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    Chapter 13 Improved Knowledge Base Completion by the Path-Augmented TransR Model
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    Chapter 14 Balancing Between Cognitive and Semantic Acceptability of Arguments
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    Chapter 15 Discovery of Jump Breaks in Joint Volatility for Volume and Price of High-Frequency Trading Data in China
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    Chapter 16 Device-Free Intruder Sensing Leveraging Fine-Grained Physical Layer Signatures
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    Chapter 17 Understanding Knowledge Management in Agile Software Development Practice
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    Chapter 18 Multi-view Unit Intact Space Learning
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    Chapter 19 A Novel Blemish Detection Algorithm for Camera Quality Testing
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    Chapter 20 Learning to Infer API Mappings from API Documents
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    Chapter 21 Super-Resolution for Images with Barrel Lens Distortions
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    Chapter 22 Mining Schema Knowledge from Linked Data on the Web
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    Chapter 23 Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network
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    Chapter 24 Co-saliency Detection Based on Superpixel Clustering
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    Chapter 25 ARMICA-Improved: A New Approach for Association Rule Mining
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    Chapter 26 Collaborative Filtering via Different Preference Structures
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    Chapter 27 A Multifaceted Model for Cross Domain Recommendation Systems
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    Chapter 28 Cross Domain Collaborative Filtering by Integrating User Latent Vectors of Auxiliary Domains
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    Chapter 29 Collaborative Filtering Based on Pairwise User-Item Blocking Structure (PBCF): A General Framework and Its Implementation
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    Chapter 30 Beyond the Aggregation of Its Members—A Novel Group Recommender System from the Perspective of Preference Distribution
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    Chapter 31 Exploring Latent Bundles from Social Behaviors for Personalized Ranking
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    Chapter 32 Trust-Aware Recommendation in Social Networks
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    Chapter 33 Connecting Factorization and Distance Metric Learning for Social Recommendations
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    Chapter 34 Relevant Fact Selection for QA via Sequence Labeling
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    Chapter 35 Community Outlier Based Fraudster Detection
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    Chapter 36 An Efficient Three-Dimensional Reconstruction Approach for Pose-Invariant Face Recognition Based on a Single View
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    Chapter 37 MIAC: A Mobility Intention Auto-Completion Model for Location Prediction
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    Chapter 38 Automatically Difficulty Grading Method Based on Knowledge Tree
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    Chapter 39 A Weighted Non-monotonic Averaging Image Reduction Algorithm
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    Chapter 40 Learning Deep and Shallow Features for Human Activity Recognition
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    Chapter 41 Transfer Learning with Manifold Regularized Convolutional Neural Network
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    Chapter 42 Learning Path Generation Method Based on Migration Between Concepts
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    Chapter 43 Representation Learning of Multiword Expressions with Compositionality Constraint
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    Chapter 44 Linear Algebraic Characterization of Logic Programs
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    Chapter 45 Representation Learning with Entity Topics for Knowledge Graphs
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    Chapter 46 Robust Mapping Learning for Multi-view Multi-label Classification with Missing Labels
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    Chapter 47 Fast Subsumption Between Rooted Labeled Trees
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Title
Knowledge Science, Engineering and Management
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-63558-3
ISBNs
978-3-31-963557-6, 978-3-31-963558-3
Editors

Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Lecturer 1 3%
Other 1 3%
Unknown 15 48%
Readers by discipline Count As %
Computer Science 9 29%
Engineering 2 6%
Business, Management and Accounting 2 6%
Linguistics 1 3%
Unknown 17 55%