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Multi-disciplinary Trends in Artificial Intelligence

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Table of Contents

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    Book Overview
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    Chapter 1 BoWT: A Hybrid Text Representation Model for Improving Text Categorization Based on AdaBoost.MH
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    Chapter 2 An Improved Teaching-Learning Based Optimization for Optimization of Flatness of a Strip During a Coiling Process
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    Chapter 3 An Entailment Procedure for Kleene Answer Set Programs
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    Chapter 4 An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
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    Chapter 5 WSCOVER: A Tool for Automatic Composition and Verification of Web Services Using Heuristic-Guided Model Checking and Logic-Based Clustering
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    Chapter 6 An Improvement of Pattern-Based Information Extraction Using Intuitionistic Fuzzy Sets
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    Chapter 7 Shape Optimization in Product Design Using Interactive Genetic Algorithm Integrated with Multi-objective Optimization
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    Chapter 8 A Hierarchical Learning Approach for Finding Multiple Vehicle Number Plate Under Cluttered Background
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    Chapter 9 Multi-disciplinary Trends in Artificial Intelligence
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    Chapter 10 Causal Basis for Probabilistic Belief Change: Distance vs. Closeness
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    Chapter 11 A Scalable Spatial Anisotropic Interpolation Approach for Object Removal from Images Using Elastic Net Regularization
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    Chapter 12 Identification of Relevant and Redundant Automatic Metrics for MT Evaluation
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    Chapter 13 Bankruptcy Prediction Using Memetic Algorithm
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    Chapter 14 Crowd Simulation in 3D Virtual Environments
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    Chapter 15 Filter-Based Feature Selection Using Two Criterion Functions and Evolutionary Fuzzification
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    Chapter 16 Resolving the Manufacturing Cell Design Problem Using the Flower Pollination Algorithm
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    Chapter 17 A New Multiple Objective Cuckoo Search for University Course Timetabling Problem
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    Chapter 18 Application of Genetic Algorithm for Quantifying the Affect of Breakdown Maintenance on Machine Layout
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    Chapter 19 A Random Forest-Based Self-training Algorithm for Study Status Prediction at the Program Level: minSemi-RF
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    Chapter 20 Multi-disciplinary Trends in Artificial Intelligence
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    Chapter 21 A Comparison of Domain Experts and Crowdsourcing Regarding Concept Relevance Evaluation in Ontology Learning
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    Chapter 22 Evolutionary Analysis and Computing of the Financial Safety Net
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    Chapter 23 Learning to Navigate in a 3D Environment
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    Chapter 24 Analysis of Similarity/Dissimilarity of DNA Sequences Based on Pulse Coupled Neural Network
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    Chapter 25 Computing Sentiment Scores of Adjective Phrases for Vietnamese
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    Chapter 26 Sentiment Analysis Using Anaphoric Coreference Resolution and Ontology Inference
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    Chapter 27 A GA-SSO Based Intelligent Channel Assignment Approach for MR-MC Wireless Sensors Networks
Attention for Chapter 13: Bankruptcy Prediction Using Memetic Algorithm
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Chapter title
Bankruptcy Prediction Using Memetic Algorithm
Chapter number 13
Book title
Multi-disciplinary Trends in Artificial Intelligence
Published by
Springer, Cham, December 2016
DOI 10.1007/978-3-319-49397-8_13
Book ISBNs
978-3-31-949396-1, 978-3-31-949397-8

Nekuri Naveen, Mamillapalli Chilaka Rao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Researcher 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 3 33%
Business, Management and Accounting 1 11%
Economics, Econometrics and Finance 1 11%
Engineering 1 11%
Unknown 3 33%