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Data and Knowledge Engineering

Overview of attention for book
Cover of 'Data and Knowledge Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 OR-Tree: An Optimized Spatial Tree Index for Flash-Memory Storage Systems
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    Chapter 2 Directional Skyline Queries
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    Chapter 3 Transforming Nescient Activity into Intelligent Activity
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    Chapter 4 Self-adaptive Non-stationary Parallel Multisplitting Two-Stage Iterative Methods for Linear Systems
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    Chapter 5 Towards a Case-Based Reasoning Approach Based on Ontologies Application to Railroad Accidents
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    Chapter 6 An Agile Knowledge Discovery in Databases Software Process
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    Chapter 7 An Innovative Outlier Detection Method Using Localized Thresholds
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    Chapter 8 A Self-stabilizing Algorithm for Finding a Minimal K -Dominating Set in General Networks
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    Chapter 9 Optimal Combination of Feature Weight Learning and Classification Based on Local Approximation
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    Chapter 10 A Model of User-Oriented Reduct Construction Based on Minimal Set Cover
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    Chapter 11 Determining Pattern Similarity in a Medical Recommender System
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    Chapter 12 Chinese Latent Relational Search Based on Relational Similarity
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    Chapter 13 Wikipedia Category Graph and New Intrinsic Information Content Metric for Word Semantic Relatedness Measuring
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    Chapter 14 Nautilus: A Generic Framework for Crawling Deep Web
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    Chapter 15 Data and Knowledge Engineering
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    Chapter 16 A Secure and Efficient Mix Network Especially Suitable for E-Voting
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    Chapter 17 Power Analysis Based Reverse Engineering on the Secret Round Function of Block Ciphers
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    Chapter 18 PEVS: A Secure Electronic Voting Scheme Using Polling Booths
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    Chapter 19 Certificate-Based Key-Insulated Signature
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    Chapter 20 The Generalized Construction and Linear Complexity of Binary Sequences with Three-Level Autocorrelation Values
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    Chapter 21 Anonymous Hierarchical Identity-Based Encryption in Prime Order Groups
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    Chapter 22 Weaknesses of “Security Analysis and Enhancement for Three-Party Password-Based Authenticated Key Exchange Protocol”
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Mentioned by

1 tweeter
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34 Mendeley
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Data and Knowledge Engineering
Published by
Springer Berlin Heidelberg, October 2012
DOI 10.1007/978-3-642-34679-8
978-3-64-234678-1, 978-3-64-234679-8

Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui, Wang, Hua

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Austria 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 6 18%
Student > Master 5 15%
Student > Doctoral Student 4 12%
Student > Postgraduate 3 9%
Other 5 15%
Unknown 4 12%
Readers by discipline Count As %
Computer Science 14 41%
Engineering 6 18%
Social Sciences 2 6%
Psychology 1 3%
Linguistics 1 3%
Other 5 15%
Unknown 5 15%