Advanced computational methods for knowledge engineering /

The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are:...

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Bibliographic Details
Corporate Authors: International Conference on Computer Science, Applied Mathematics and Applications Warsaw, Poland); SpringerLink (Online service)
Group Author: Nguyen, Ngoc Thanh; Do, Tien; Le Thi, Hoai An
Published: Springer,
Publisher Address: Heidelberg ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Studies in computational intelligence, 479
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-00293-4
Summary: The book consists of 29 extended chapters which have been selected and invited from the submissions to the 1st International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queueing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering.
Item Description: Includes author index.
Carrier Form: 1 online resource.
ISBN: 9783319002934 (electronic bk.)
3319002937 (electronic bk.)
Index Number: Q342
CLC: TP18-532
Contents: Advanced Optimization Methods and Their Applications.
Solution Methods for General Quadratic Programming Problem with Continuous and Binary Variables: Overview /
Branch and Bound Algorithm Using Cutting Angle Method for Global Minimization of Increasing Positively Homogeneous Functions /
A DC Programming Framework for Portfolio Selection by Minimizing the Transaction Costs /
Efficient Algorithms for Feature Selection in Multi-class Support Vector Machine /
Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA Based Algorithm /
Clustering Data Streams over Sliding Windows by DCA /
A Column Generation Based Label Correcting Approach for the Sensor Management in an Information Collection Process /
Planning Sensors with Cost-Restricted Subprocess Calls: A Rare-Event Simulation Approach /
Large Scale Image Classification with Many Classes, Multi-features and Very High-Dimensional Signatures /
Partitioning Methods to Parallelize Constraint Programming Solver Using the Parallel Framework Bobpp /
Queueing Theory and Applications.
Spectral Expansion Solution Methodology for QBD-M Processes and Applications in Future Internet Engineering /
On the Properties of Generalised Markovian Queues with Heterogeneous Servers /
Performance Analysis of Edge Nodes with Multiple Path Routing /
Computational Methods for Knowledge Engineering.
Meta-concept and Intelligent Data Processing in the Geotechnical Fields /
Ekman Layers of Rotating Fluids with Vanishing Viscosity between Two Infinite Parallel Plates /
Parallelization of the Fast Multipole Method for Molecular Dynamics Simulations on Multicore Computers /
An Adaptive Neuro-Fuzzy Inference System for Seasonal Forecasting of Tropical Cyclones Making Landfall along the Vietnam Coast /
An Application of Computational Collective Intelligence to Governance and Policy Modelling /
A Framework for Building Intelligent Tutoring Systems /
A Review of AI-Supported Tutoring Approaches for Learning Programming /
Supporting Career Counseling with User Modeling and Job Matching /
Knowledge Engineering with Cloud and Grid Computing --
An Abstraction Model for High-Level Application Programming on the Cloud /
Agent Based Modeling of Ecodistricts with Smart Grid /
Cloud-Based Data Warehousing Application Framework for Modeling Global and Regional Data Management Systems /
Logic Based Methods for Decision Making and Data Mining.
A Tableau Method with Optimal Complexity for Deciding the Description Logic SHIQ /
An Approach to Semantic Indexing Based on Tolerance Rough Set Model /
An Approach for Mining Concurrently Closed Itemsets and Generators /
An Efficient Algorithm for Mining Frequent Itemsets with Single Constraint /
Mining Frequent Weighted Closed Itemsets /