Proceedings of International Conference on Computational Intelligence and Data Engineering [electronic resource] : ICCIDE 2020 / Nabendu Chaki, Jerzy Pejas, Nagaraju Devarakonda, Ram Mohan Rao Kovvur, editors.
This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It cov...
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| Online Access: |
Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , , , |
| Other title: | ICCIDE 2020. |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
2021.
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| Series: | Lecture notes on data engineering and communications technologies ;
v. 56. |
| Subjects: |
MARC
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| 245 | 1 | 0 | |a Proceedings of International Conference on Computational Intelligence and Data Engineering |h [electronic resource] : |b ICCIDE 2020 / |c Nabendu Chaki, Jerzy Pejas, Nagaraju Devarakonda, Ram Mohan Rao Kovvur, editors. |
| 246 | 3 | |a ICCIDE 2020. | |
| 260 | |a Singapore : |b Springer, |c 2021. | ||
| 300 | |a 1 online resource. | ||
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| 490 | 1 | |a Lecture Notes on Data Engineering and Communications Technologies ; |v v. 56. | |
| 505 | 0 | |a Intro -- Preface -- Contents -- About the Editors -- Autonomous Obstacle Avoidance Robot Using Regression -- 1 Introduction -- 2 Methodology -- 3 Obstacle Avoidance Algorithm -- 4 Implementing Obstacle Avoidance -- 5 Results and Analysis -- 6 Conclusion and Future Scope -- References -- ABC-BSRF: Artificial Bee Colony and Borderline-SMOTE RF Algorithm for Intrusion Detection System on Data Imbalanced Problem -- 1 Introduction -- 2 Related Work -- 3 Outline of ABC Analysis, SMOTE, and Random Forests -- 3.1 Feature Selection: ABC Analysis. | |
| 505 | 8 | |a 3.2 Oversampling: Borderline Synthetic Minority Oversampling Technique (B-SMOTE) Through Random Forests -- 4 Proposed Methodology -- 5 Experiential Work and Results Inferred -- 6 Conclusions and Perspectives -- References -- A Novel Two-Layer Feature Selection for Emotion Recognition with Body Movements -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Experimental Results -- 5 Conclusion -- References -- Nearest Neighbors via a Hybrid Approach in Large Datasets: A Speed up -- 1 Introduction -- 2 Preliminaries -- 2.1 Coresets -- 2.2 K-Means -- 2.3 Quadtree and kd-tree -- 3 Proposed Work. | |
| 505 | 8 | |a 4 Results -- 5 Future Work -- 6 Conclusion -- References -- Impact of Hyperparameters on Model Development in Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Skopt: Library for Hyperparameter Optimization -- 3.1 gp_minimize -- 3.2 forest_minimize -- 3.3 gbrt_minimize -- 4 Environment -- 4.1 Dataset -- 5 Results and Discussions -- 6 Conclusion -- References -- Strategies to Effectively Integrate Visualization with Active Learning in Computer Science Class -- 1 Introduction -- 2 Literature Review -- 3 Active Learning -- 3.1 Think Pair Share -- 3.2 One Minute Paper. | |
| 505 | 8 | |a 3.3 Collaborative Learning -- 3.4 Learning by Teaching -- 3.5 Infographics -- 4 Visualization -- 4.1 Visualization and Its Need -- 4.2 How to Choose Appropriate Visualization for Your Topic -- 5 Strategies for Integration of Visualization with Active Learning -- 5.1 Predict -- 5.2 Calculate -- 5.3 Explain -- 6 Results and Discussions -- 7 Conclusion -- References -- Supervised Learning-Based Classifiers in Healthcare Decision-Making -- 1 Introduction -- 2 Classification Algorithms -- 3 Methodology -- 4 Performance Assessment -- 5 Case Study -- 5.1 Dataset Description -- 5.2 Results. | |
| 505 | 8 | |a 6 Conclusion and Future Works -- References -- Gridding and Supervised Segmentation Method for DNA Microarray Images -- 1 Introduction -- 2 Microarray Gridding -- 3 Microarray Segmentation -- 4 Experimental Results -- 5 Conclusions -- References -- Predicting Breast Cancer Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 4.1 Dataset -- 4.2 Methods -- 4.3 Methodology -- 5 Results -- 6 Conclusion -- References -- Gender Identification Over Voice Sample Using Machine Learning -- 1 Introduction -- 2 Gender Classification Related Work. | |
| 500 | |a Includes index. | ||
| 520 | |a This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 15, 2021) | |
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| 700 | 1 | |a Pejaś, Jerzy, |d 1954- |0 http://id.loc.gov/authorities/names/n2001015310 |1 http://isni.org/isni/0000000117006271. | |
| 700 | 1 | |a Devarakonda, Nagaraju. | |
| 700 | 1 | |a Kovvur, Ram Mohan Rao. | |
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