Recent advances on soft computing and data mining : the second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and bu...
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Corporate Author | |
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Other Authors | , , , |
Format | Electronic eBook |
Language | English |
Published |
Cham, Switzerland :
Springer,
2017.
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Series | Advances in intelligent systems and computing ;
549. |
Subjects | |
Online Access | Plný text |
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Table of Contents:
- Preface; Conference Organization; Patron; Honorary Chairs; Steering Committee; General Chairs; Organizing Committee; Program Committee Chairs; Proceeding Chairs; Workshop Chairs; Sponsorship; Program Committee ; Soft Computing; Data Mining; Workshop on Ensemble Methods and Their Applications; Workshop on Web Mining, Services and Security; Contents; Soft Computing; Cluster Validation Analysis on Attribute Relative of Soft-Set Theory; 1 Introduction; 2 Preliminaries; 2.1 Soft-Set Theory; 2.2 Clustering Attribute Selection; 2.3 Cluster Validation Method; 3 Attribute Relative of Soft-Set Theory
- 4 Result and Discussion5 Conclusions; References; Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm; Abstract; 1 Introduction; 2 Wolf Search (WS) Algorithm; 2.1 The Proposed WRNN Algorithm; 3 Results and Discussion; 3.1 Preliminary Study; 3.2 Classification Datasets; 4 Conclusion; Acknowledgments; References; Optimization of ANFIS Using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs; 1 Introduction; 2 The ANFIS Concept; 3 Artificial Bee Colony Algorithm; 4 Methodology; 4.1 ANFIS Rule-Base Minimization and Accuracy Maximization Using ABC
- 5 Simulation Results and Analysis6 Conclusion; References; Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series; Abstract; 1 Introduction; 2 The Basic Theories of FTS and RTS; 2.1 FTS Theory and Its Procedure; 2.2 RTS Theory and Its Procedure; 3 Proposed Interval Adjustment and Algorithm in FTS; 4 Empirical Analysis; 5 Conclusion; Acknowledgment; References; A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site; Abstract; 1 Introduction; 2 The Steps of Z-Numbers with Fuzzy TOPSIS; 3 An Application; 4 Comparative Studies
- 5 ConclusionReferences; Formation Control Optimization for Odor Localization; Abstract; 1 Introduction; 2 Odor Localization Design; 2.1 Odor Localization Process; 2.2 The Localization Process-Based FKN-PSO Algorithm; 3 Experimental Results; 4 Conclusion and Future Work; Acknowledgments; References; A New Search Direction for Broyden's Family Method in Solving Unconstrained Optimization Problems; Abstract; 1 Introduction; 2 Preliminaries; 3 Proposed Model; 4 Experimental Result; 5 Conclusion; References
- Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification TaskAbstract; 1 Introduction; 2 Functional Link Neural Network Learning Scheme; 3 Modified Artificial Bee Colony; 4 Firefly Algorithm; 5 Modified Bee-Firefly Algorithm; 6 Experimentation and Result; 7 Conclusion; Acknowledgments; References; Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model; Abstract; 1 Introduction; 2 Related Works; 3 Rudimentary; 3.1 COCOMO II Model; 3.2 Artificial Neural Network; 3.2.1 Identity Function