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Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data

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Table of Contents

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    Book Overview
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    Chapter 1 Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
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    Chapter 2 Combining HCI, Natural Language Processing, and Knowledge Discovery - Potential of IBM Content Analytics as an Assistive Technology in the Biomedical Field
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    Chapter 3 Designing Computer-Based Clinical Guidelines Decision Support by a Clinician
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    Chapter 4 Opinion Mining on the Web 2.0 – Characteristics of User Generated Content and Their Impacts
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    Chapter 5 Evaluation of SHAPD 2 Algorithm Efficiency Supported by a Semantic Compression Mechanism in Plagiarism Detection Tasks
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    Chapter 6 Using Hasse Diagrams for Competence-Oriented Learning Analytics
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    Chapter 7 Towards the Detection of Deception in Interactive Multimedia Environments
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    Chapter 8 Predictive Sentiment Analysis of Tweets: A Stock Market Application
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    Chapter 9 A UI Prototype for Emotion-Based Event Detection in the Live Web
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    Chapter 10 Challenges from Cross-Disciplinary Learning Relevant for KDD Methods in Intercultural HCI Design
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    Chapter 11 Intent Recognition Using Neural Networks and Kalman Filters
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    Chapter 12 HCI Empowered Literature Mining for Cross-Domain Knowledge Discovery
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    Chapter 13 An Interactive Course Analyzer for Improving Learning Styles Support Level
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    Chapter 14 A Framework for Automatic Identification and Visualization of Mobile Device Functionalities and Usage
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    Chapter 15 Crowdsourcing Fact Extraction from Scientific Literature
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    Chapter 16 Digital Archives: Semantic Search and Retrieval
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    Chapter 17 Inconsistency Knowledge Discovery for Longitudinal Data Management: A Model-Based Approach
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    Chapter 18 On Knowledge Discovery in Open Medical Data on the Example of the FDA Drug Adverse Event Reporting System for Alendronate (Fosamax)
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    Chapter 19 Random Forests for Feature Selection in Non-invasive Brain-Computer Interfacing
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    Chapter 20 End Users Programming Smart Homes – A Case Study on Scenario Programming
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    Chapter 21 Understanding the Limitations of Eco-feedback: A One-Year Long-Term Study
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    Chapter 22 “…Language in Their Very Gesture” First Steps towards Calm Smart Home Input
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    Chapter 23 "Oh, I Say, Jeeves!” A Calm Approach to Smart Home Input
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    Chapter 24 Optimizing Classroom Environment to Support Technology Enhanced Learning
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    Chapter 25 A Smart Problem Solving Environment
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    Chapter 26 Collaboration Is Smart: Smart Learning Communities
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    Chapter 27 Smart Open-Ended Learning Environments That Support Learners Cognitive and Metacognitive Processes
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    Chapter 28 Curriculum Optimization by Correlation Analysis and Its Validation
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    Chapter 29 The Concept of eTextbooks in K-12 Classes from the Perspective of Its Stakeholders
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    Chapter 30 A Multi-dimensional Personalization Approach to Developing Adaptive Learning Systems
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    Chapter 31 Extending the AAT Tool with a User-Friendly and Powerful Mechanism to Retrieve Complex Information from Educational Log Data
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    Chapter 32 Automating the E-learning Personalization
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    Chapter 33 Teaching Computational Thinking Skills in C3STEM with Traffic Simulation
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    Chapter 34 Learning Analytics to Support the Use of Virtual Worlds in the Classroom
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    Chapter 35 Evaluation of Optimized Visualization of LiDAR Point Clouds, Based on Visual Perception
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    Chapter 36 Visualising the Attributes of Biological Cells, Based on Human Perception
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    Chapter 37 Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
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    Chapter 38 Organizing Documents to Support Activities
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Citations

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Title
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
Published by
Springer Berlin Heidelberg, June 2013
DOI 10.1007/978-3-642-39146-0
ISBNs
978-3-64-239145-3, 978-3-64-239146-0
Editors

Holzinger, Andreas, Pasi, Gabriella

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
India 1 1%
Portugal 1 1%
Canada 1 1%
Costa Rica 1 1%
Thailand 1 1%
Korea, Republic of 1 1%
Unknown 75 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 25%
Student > Ph. D. Student 18 21%
Researcher 8 10%
Student > Doctoral Student 8 10%
Student > Bachelor 8 10%
Other 16 19%
Unknown 5 6%
Readers by discipline Count As %
Computer Science 34 40%
Engineering 9 11%
Business, Management and Accounting 7 8%
Social Sciences 5 6%
Economics, Econometrics and Finance 3 4%
Other 17 20%
Unknown 9 11%