Intelligent systems design and applications : 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016

This book comprises selected papers from the 16th International Conference on Intelligent Systems Design and Applications (ISDA?16), which was held in Porto, Portugal from December 1 to16, 2016. ISDA 2016 was jointly organized by the Portugual-based Instituto Superior de Engenharia do Porto and the...

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Corporate Author: International Conference on Intelligent Systems Design and Applications Porto, Portugal)
Other Authors: Madureira, Ana (Editor), Abraham, Ajith, 1968- (Editor), Gamboa, Dorabela, (Editor), Novais, Paulo, (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Advances in intelligent systems and computing ; 557.
Subjects:
ISBN: 9783319534800
9783319534794
Physical Description: 1 online resource

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111 2 |a International Conference on Intelligent Systems Design and Applications  |n (16th :  |d 2016 :  |c Porto, Portugal) 
245 1 0 |a Intelligent systems design and applications :  |b 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016 /  |c Ana Maria Madureira, Ajith Abraham, Dorabela Gamboa, Paulo Novais, editors. 
246 3 |a ISDA 2016 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource 
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490 1 |a Advances in intelligent systems and computing,  |x 2194-5357 ;  |v volume 557 
500 |a Includes author index. 
505 0 |a Preface; ISDA 2016 -- Organization; General Chairs; Program Chairs; Advisory Board members; Tutorials/Workshops and Special Sessions Chairs; Publication Chair; Web Master; Local Organizing Committee; Technical Program Committee; Contents; An Innovative Approach to Manage Heterogeneous Information Using Relational Database Systems; Abstract; 1 Introduction; 2 Defining the Concepts Used for Solving this Problem; 2.1 Library Standards for Defining Information; 2.2 Representing Information Structures Using FRBR Model; 3 Problem Solution Using Metadata Definitions; 4 Preliminary Results. 
505 8 |a 5 ConclusionsReferences; Reliable Attribute Selection Based on Random Forest (RASER); Abstract; 1 Introduction; 2 Related Work; 3 Reliable Attribute Selection Based on Random Forest (RASER); 3.1 Measuring Features Relevance; 3.2 Measuring Redundancy; 3.3 Subgraph Computation; 4 Experimental Results; 4.1 Value of Relevance; 4.2 Performance; 5 Conclusion; References; Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning; Abstract; 1 Introduction; 2 Estimating the Number of Clusters of a Clustering by Using a Sequential Clustering Algorithm; 3 The BSAS Algorithm. 
505 8 |a 4 Data Domains for the Experiments5 Experiments, Results and Analysis; 6 Conclusions; Acknowledgments; References; Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters; Abstract; 1 Introduction; 2 The Agglomerative Approach; 3 The Divisive Approach; 4 Data Domain for the Experiments; 5 Experiments, Results and Analysis; 6 Conclusions; Acknowledgments; References; Improving Imputation Accuracy in Ordinal Data Using Classification; 1 Introduction; 2 Related Work; 3 Classifier Based Nominal Imputation Algorithm (CNI); 4 Experimental Setup; 4.1 Experimental Results. 
505 8 |a 4.2 Classification Accuracy4.3 K Nearest Neighbour Algorithm (KNN-5); 5 Conclusions; References; GA-PSO-FASTSLAM: A Hybrid Optimization Approach in Improving FastSLAM Performance; Abstract; 1 Introduction; 2 Background; 2.1 GA-FastSLAM Approach; 2.2 PSO-FastSLAM Approach; 3 The Proposed GA-PSO-FastSLAM Approach; 4 Experiment; 4.1 Experiment Setup; 4.2 Experiment Result; 5 Conclusion; Acknowledgment; References; Three Case Studies Using Agglomerative Clustering; Abstract; 1 Introduction; 2 AGNES (AGglomerative NESting) Algorithm; 3 Data Description. 
505 8 |a 4 Validation Indices, Experiments, Results and Analysis5 Conclusions; Acknowledgments; References; Historic Document Image De-noising Using Principal Component Analysis (PCA) and Local Pixel Grouping ... ; Abstract; 1 Introduction; 2 Related Work; 3 LPG-PCA De-noising Algorithm; 3.1 Principal Component Analysis (PCA); 3.2 Local Pixel Grouping (LPG); 3.3 LPG-PCA Based De-noising First Stage; 3.4 LPG-PCA Based De-noising Refinement in Second Stage; 4 Experimentation; 4.1 Datasets; 4.2 Assessment Metrics; 4.3 Experimental Result; 5 Conclusion; Acknowledgments; References. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book comprises selected papers from the 16th International Conference on Intelligent Systems Design and Applications (ISDA?16), which was held in Porto, Portugal from December 1 to16, 2016. ISDA 2016 was jointly organized by the Portugual-based Instituto Superior de Engenharia do Porto and the US-based Machine Intelligence Research Labs (MIR Labs) to serve as a forum for the dissemination of state-of-the-art research and development of intelligent systems, intelligent technologies, and applications. The papers included address a wide variety of themes ranging from theories to applications of intelligent systems and computational intelligence area and provide a valuable resource for students and researchers in academia and industry alike. 
504 |a Includes bibliographical references at the end of each chapters and index. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Expert systems (Computer science)  |v Congresses. 
650 0 |a Artificial intelligence  |v Congresses. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Madureira, Ana  |q (Ana Maria),  |e editor. 
700 1 |a Abraham, Ajith,  |d 1968-  |e editor. 
700 1 |a Gamboa, Dorabela,  |e editor. 
700 1 |a Novais, Paulo,  |e editor. 
776 0 8 |i Print version:  |a International Conference on Intelligent Systems Design and Applications (16th : 2016 : Porto, Portugal).  |t Intelligent systems design and applications.  |d Cham, Switzerland : Springer, 2017  |z 3319534793  |z 9783319534794  |w (OCoLC)968511672 
830 0 |a Advances in intelligent systems and computing ;  |v 557. 
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