Analyzing and Comparison of Movie Rating Using Hadoop and Spark Frame Work
This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018.
Includes bibliographical references and index.
ReferencesA Robust Human Gait Recognition Approach Using Multi-interval Features; 1 Introduction; 2 Proposed Method; 2.1 Preprocessing; 2.2 Gradient Matrices; 2.3 Multi Interval Features; 2.4 Symbolic Dissimilarity Measure and K-Nearest Neighbor (KNN) Classifier; 3 Experiments; 3.1 CASIA A Dataset; 3.2 CASIA B Dataset; 3.3 CASIA C Dataset; 4 Comparative Results; 5 Conclusion; References; Keyword Spotting in Historical Devanagari Manuscripts by Word Matching; 1 Introduction; 2 Related Work; 3 System Overview; 3.1 Preprocessing; 3.2 Segmentation; 3.3 Feature Extraction
Intro; Preface; Contents; Editors and Contributors; Recognition of Seven-Segment Displays from Images of Digital Energy Meters; 1 Introduction; 2 Review of Related Work; 3 Proposed Method for Recognition of Seven-Segment Digits; 3.1 Determination of the LCD Display Area; 3.2 Segmentation of Digits; 3.3 Digit Recognition; 3.4 Experimental Results; 3.5 Conclusions and Future Work; References; An Enhanced Task Scheduling in Cloud Computing Based on Hybrid Approach; 1 Introduction; 2 Related Work; 3 System Model of Scheduling; 4 Proposed Work; 5 Simulation Environment; 6 Performance Evaluation
3.4 Keyword Spotting by Matching Word Images4 Experiments and Results; 5 Conclusion and Future Scope; References; A Parallel Programming Approach for Estimation of Depth in World Coordinate System Using Single Camera; 1 Introduction; 2 Literature Survey; 3 Depth Estimation Using Single Camera; 3.1 Corner Feature Point Detection; 3.2 The Fundamental Matrix with RANSAC; 3.3 The Essential Matrix; 3.4 The Normalized Eight-Point Algorithm; 3.5 Triangulation; 4 Implementation Details; 4.1 Parallelization of Corner Detection and Finding the Correspondence Points
4.2 Estimation of Fundamental Matrix F4.3 Find XYZ by Triangulation; 4.4 Geometric Error Cost Function; 4.5 Cluster Z; 4.6 Evaluation; 5 Conclusion and Future Enhancement; References; An Alternate Voltage-Controlled Current Source for Electrical Impedance Tomography Applications; 1 Introduction; 2 Literature Review; 3 Methodology; 3.1 The Circuit Connection; 3.2 Design of the Output Current; 3.3 The Buffer Circuit; 4 Results and Discussion; 4.1 Frequency Response; 4.2 Simulation Result; 4.3 Hardware Result; 5 Conclusion; References
7 ConclusionReferences; A Moment-Based Representation for Online Telugu Handwritten Character Recognition; 1 Introduction; 2 Data Collection; 3 Moment-Based Representation; 3.1 Local Moments; 3.2 Preprocessing; 3.3 Stroke Representation and Features; 4 Stroke Classification and Character Recognition; 4.1 K-Nearest Neighbor (KNN) Model; 4.2 Artificial Neural Network (ANN) Model; 5 Results; 6 Conclusions; References; A Switch-Prioritized Load-Balancing Technique in SDN; 1 Introduction; 2 The Overview of Software Defined Network; 3 Load Balancing Techniques; 4 Proposed Idea; 5 Conclusion
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This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike.
Springer Nature
com.springer.onix.9789811325144
Data Analytics and Learning : Proceedings of DAL 2018.
9789811325137
Data mining, Congresses.
Machine learning, Congresses.
COMPUTERS-- General.
Data mining.
Machine learning.
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312
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D343
Nagabhushan, P.
International Conference on Data Analytics and Learning(1st :2018 :, University of Mysore)