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Knowledge Discovery, Knowledge Engineering and Knowledge Management

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Cover of 'Knowledge Discovery, Knowledge Engineering and Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent
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    Chapter 2 URL-Based Web Page Classification: With n-Gram Language Models
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    Chapter 3 Exploiting Guest Preferences with Aspect-based Sentiment Analysis for Hotel Recommendation
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    Chapter 4 Iterative Refining of Category Profiles for Nearest Centroid Cross-Domain Text Classification
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    Chapter 5 Cluster Summarization with Dense Region Detection
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    Chapter 6 Content-Based News Recommendation: Comparison of Time-Based System and Keyphrase-Based System
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    Chapter 7 Techniques for Processing LSI Queries Incorporating Phrases
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    Chapter 8 Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine
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    Chapter 9 A Novel Knowledge-Based Architecture for Concept Mining on Italian and English Texts
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    Chapter 10 A Generic and Declarative Method for Symmetry Breaking in Itemset Mining
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    Chapter 11 Enhancing Online Discussion Forums with Topic-Driven Content Search and Assisted Posting
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    Chapter 12 Random Perturbations of Term Weighted Gene Ontology Annotations for Discovering Gene Unknown Functionalities
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    Chapter 13 Building MD Analytical Stars Using a Visual Linked Data Query Builder
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    Chapter 14 Modeling Sentiment Polarity with Meta-features to Achieve Domain-Independence
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    Chapter 15 An Improved String Similarity Measure Based on Combining Information-Theoretic and Edit Distance Methods
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    Chapter 16 Named Entity Recognition from Financial Press Releases
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    Chapter 17 A New Similarity Measure for an Ontology Matching System
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    Chapter 18 Techniques for Merging Upper Ontologies
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    Chapter 19 Ontological Support for Modelling Planning Knowledge
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    Chapter 20 Extending Ontological Categorization Through a Dual Process Conceptual Architecture
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    Chapter 21 Multiple Dimensions to Data-Driven Ontology Evaluation
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    Chapter 22 A Semi-automatic Approach to Build XML Document Warehouse
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    Chapter 23 Improving General Knowledge Sharing via an Ontology of Knowledge Representation Language Ontologies
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    Chapter 24 Towards an Approach for Configuring Ontology Validation
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    Chapter 25 A Tool for Complete OWL-S Services Annotation by Means of Concept Networks
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    Chapter 26 Interview Based DEMO Axioms’ Benefits Validation: A Regional Government Case Study
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    Chapter 27 Knowledge Reuse in Innovation
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    Chapter 28 How to Build Ontologies for Requirements Systems Engineering Projects Aiding the Quality Management Process
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    Chapter 29 Apogee: Application Ontology Generation with Size Optimization
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    Chapter 30 Knowledge Management Problems at Hospital: An Empirical Study Using the Grounded Theory
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    Chapter 31 Cooperative Knowledge Representation and Classification for Design Projects
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    Chapter 32 Role-Driven Context-Based Decision Support: Approach, Implementation and Lessons Learned
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    Chapter 33 Knowledge Capture and Information Sharing for Science and Technology
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    Chapter 34 Ontology Methodology Building Criteria for Crowdsourcing Innovation Intermediaries
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    Chapter 35 “Made with Knowledge”: Reporting a Qualitative Literature Review on the Concept of the IT Knowledge Artifact
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    Chapter 36 An Information Flow Based Modeling Approach to Information Management
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    Chapter 37 Elucidating and Creating Working Knowledge for the Care of the Frail Elderly Through User-Centered Technology Evaluation of a 4-Wheel Electric Power Assisted Bicycle: A Case Study of a Salutogenic Device in Healthcare Facilities in Japan
Overall attention for this book and its chapters
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Title
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Published by
Springer International Publishing, October 2015
DOI 10.1007/978-3-319-25840-9
ISBNs
978-3-31-925839-3, 978-3-31-925840-9
Editors

Fred, Ana, Dietz, Jan L. G., Aveiro, David, Liu, Kecheng, Filipe, Joaquim

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Master 1 25%
Professor > Associate Professor 1 25%
Unspecified 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unspecified 1 25%