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Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation

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Cover of 'Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation'

Table of Contents

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    Book Overview
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    Chapter 1 Some Challenges and Trends in Information Science
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    Chapter 2 An Informational Model of Open Innovation
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    Chapter 3 Basic Triangle Inequality Approach Versus Metric VP-Tree and Projection in Determining Euclidean and Cosine Neighbors
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    Chapter 4 Towards Increasing Density of Relations in Category Graphs
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    Chapter 5 Weight Learning in TRSM-based Information Retrieval
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    Chapter 6 An Analysis of Contextual Aspects of Conceptualization: A Case Study and Prospects
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    Chapter 7 Creating a Reliable Music Discovery and Recommendation System
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    Chapter 8 Web Resource Acquisition System for Building Scientific Information Database
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    Chapter 9 Analyzing Logs of the University Data Repository
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    Chapter 10 Content Analysis of Scientific Articles in Apache Hadoop Ecosystem
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    Chapter 11 Implementation of a System for Fast Text Search and Document Comparison
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    Chapter 12 Chrum: The Tool for Convenient Generation of Apache Oozie Workflows
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    Chapter 13 PrOnto: A Local Search Engine for Digital Libraries
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    Chapter 14 Further Developments of the Online Sound Restoration System for Digital Library Applications
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    Chapter 15 Overview of the Virtual Transcription Laboratory Usage Scenarios and Architecture
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    Chapter 16 University Knowledge Base: Two Years of Experience
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    Chapter 17 CLEPSYDRA Data Aggregation and Enrichment Framework: Design, Implementation and Deployment in the PIONIER Network Digital Libraries Federation
Attention for Chapter 9: Analyzing Logs of the University Data Repository
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Chapter title
Analyzing Logs of the University Data Repository
Chapter number 9
Book title
Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-04714-0_9
Book ISBNs
978-3-31-904713-3, 978-3-31-904714-0
Authors

Janusz Sosnowski, Piotr Gawkowski, Krzysztof Cabaj, Marcin Kubacki

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Librarian 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Arts and Humanities 1 20%
Unknown 2 40%