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Artificial Intelligence: Methodology, Systems, and Applications

Overview of attention for book
Cover of 'Artificial Intelligence: Methodology, Systems, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Deduction in Existential Conjunctive First-Order Logic: An Algorithm and Experiments
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    Chapter 2 Use-Based Discovery of Pervasive Services
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    Chapter 3 Expressive Approximations in DL-Lite Ontologies
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    Chapter 4 Reasoning Mechanism for Cardinal Direction Relations
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    Chapter 5 A Framework for Time-Series Analysis
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    Chapter 6 Cross-Language Personalization through a Semantic Content-Based Recommender System
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    Chapter 7 Towards Effective Recommendation of Social Data across Social Networking Sites
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    Chapter 8 Term Ranking and Categorization for Ad-Hoc Navigation
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    Chapter 9 Time Optimized Algorithm for Web Document Presentation Adaptation
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    Chapter 10 Discrepancy-Based Sliced Neighborhood Search
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    Chapter 11 Constraint Models for Reasoning on Unification in Inductive Logic Programming
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    Chapter 12 Coalition Structure Generation with GRASP
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    Chapter 13 A Bayesian Model for Entity Type Disambiguation
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    Chapter 14 The Impact of Valence Shifters on Mining Implicit Economic Opinions
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    Chapter 15 Entity Popularity on the Web: Correlating ANSA News and AOL Search
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    Chapter 16 Using Machine Learning to Prescribe Warfarin
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    Chapter 17 Single-Stacking Conformity Approach to Reliable Classification
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    Chapter 18 A Relative Word-Frequency Based Method for Relevance Feedback
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    Chapter 19 Sequence Detection for Adaptive Feedback Generation in an Exploratory Environment for Mathematical Generalisation
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    Chapter 20 A Deep Insight in Chat Analysis: Collaboration, Evolution and Evaluation, Summarization and Search
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    Chapter 21 Ontology-Based Authoring of Intelligent Model-Tracing Math Tutors
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    Chapter 22 Comparative Analysis of Distributed, Default, IC, and Fuzzy ARTMAP Neural Networks for Classification of Malignant and Benign Lesions
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    Chapter 23 An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets
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    Chapter 24 EVTIMA: A System for IE from Hospital Patient Records in Bulgarian
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    Chapter 25 Direct Field Oriented Neural Control of a Three Phase Induction Motor
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    Chapter 26 General Shape Analysis Applied to Stamps Retrieval from Scanned Documents
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    Chapter 27 Selection of Foundational Ontology for Collaborative Knowledge Modeling in Healthcare Domain
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    Chapter 28 Towards Ontological Blending
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    Chapter 29 Integration of Ontology with Development of Personalized E-Learning Facilities for Dyslexics
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    Chapter 30 A Meta Learning Approach: Classification by Cluster Analysis
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    Chapter 31 Mapping Data Driven and Upper Level Ontology
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    Chapter 32 Data Sample Reduction for Classification of Interval Information Using Neural Network Sensitivity Analysis
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    Chapter 33 Individualized Virtual Humans for Social Skills Training
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    Chapter 34 Signal Classification with Self-organizing Mixture Networks
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    Chapter 35 Simulation of the Autonomous Agent Behavior by Autoregressive Models
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    Chapter 36 Semi-partitioned Horn Clauses: A Tractable Logic of Types
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    Chapter 37 Feed Rate Profiles Synthesis Using Genetic Algorithms
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    Chapter 38 An Ontology of All of Computing: An Update on Challenges and Approaches
Overall attention for this book and its chapters
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About this Attention Score

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Mentioned by

1 tweeter

Readers on

102 Mendeley
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Artificial Intelligence: Methodology, Systems, and Applications
Published by
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-15431-7
978-3-64-215430-0, 978-3-64-215431-7

Dicheva, Darina, Dochev, Danail

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

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Researcher 1 <1%
Unknown 100 98%
Readers by discipline Count As %
Computer Science 1 <1%
Chemistry 1 <1%
Unknown 100 98%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2012.
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 9,740,699 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,156 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 100,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.