Proceedings of International Conference on Big Data, Machine Learning and Applications : BigDML 2019 / / edited by Ripon Patgiri, Sivaji Bandyopadhyay, and Valentina Emilia Balas

• Pubblicazione: Singapore : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (270 pages) : illustrations
• Disciplina: 006.31
• Soggetto topico: Big data; Machine learning
• Persona (resp. second.): BandyopadhyaySivaji; PatgiriRipon; BalasValentina Emilia
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- BicGenesis: A Method to Identify ESCC Biomarkers Using the Biclustering Approach -- 1 Introduction -- 2 Related Work -- 3 Some Selected Biclustering Algorithms -- 4 Proposed Framework -- 5 Performance Evaluation of BicGenesis -- 5.1 Benchmark Dataset -- 5.2 Results on GSE20347 -- 5.3 Topological Study -- 5.4 Biological Study -- 5.5 Some Interesting Biomarkers Identified by BicGenesis -- 6 Conclusion -- References -- An Improved Energy-Aware Secure Clustering Technique for Wireless Sensor Network -- 1 Introduction -- 1.1 Routing Protocols -- 1.2 Clustering -- 2 Proposed System -- 3 Results -- 4 Conclusion -- References -- An Improved K Means Algorithm for Unstructured Data -- 1 Introduction -- 2 Literature Review -- 3 Background Methodology -- 4 Motivation of the Proposed Work -- 5 Proposed MapRedLGC Algorithm -- 5.1 MapReduce Programming Module -- 5.2 K-Means-MapReduce Algorithm -- 5.3 Local Gravitational Clustering -- 6 Results and Discussions -- 6.1 Performance Analysis -- 7 Conclusion -- References -- Vision-Based Smart Shot for Assisting Shooters -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Finding the Target -- 3.2 Detection of Laser -- 3.3 Analysis of Shot -- 3.4 Construction of Digital Target -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence -- 1 Introduction -- 2 Data Mining -- 3 Database -- 3.1 Attributes -- 3.2 Clump Thickness -- 3.3 Uniformity of Cell Size -- 3.4 Single Epithelial Cell Size -- 3.5 Other Considerations -- 4 Evaluation of the Data -- 4.1 K-NN -- 4.2 MlP -- 4.3 Naïve Bayes -- 4.4 SMO -- 4.5 RFB -- 4.6 J48 -- 5 Conclusions -- References -- Image Reconstruction Based on Shape Analysis. ; 1 Introduction -- 2 Shape Reconstruction -- 2.1 Preamble -- 2.2 Data Collection and System -- 2.3 Data Preprocessing -- 2.4 MRS-Hypergraph Framework -- 3 Results and Inference -- 3.1 Smiley Shape Reconstruction -- 3.2 Brain MRI Scan Image of HCP-MGH -- 3.3 Performance Measure -- 3.4 Limitations and Applications -- 4 Conclusion -- References -- U-control Chart-Based Differential Evolution Clustering for Determining the Number of Clusters in k-Means -- 1 Introduction -- 2 K-means -- 3 Experiments and Results -- 3.1 Data Set -- 3.2 Configuration of Algorithms and Results -- 4 Conclusions -- References -- Novel Initialization Strategy for K-modes Clustering Algorithm -- 1 Introduction -- 2 K-mode Algorithm for Categorical Data Clustering -- 2.1 Dissimilarity Measure -- 2.2 Mode of a Set -- 2.3 Cost Function -- 2.4 The K-mode Algorithm -- 3 Our Proposed Approach for Effective Clustering -- 3.1 Average Dissimilarity -- 3.2 Neighborhood Value -- 3.3 Density Parameter -- 4 Experimentation and Analysis -- 4.1 Evaluation Method -- 4.2 Dataset -- 5 Conclusions and Future Work -- References -- A Survey on Streaming Data Analytics: Research Issues, Algorithms, Evaluation Metrics, and Platforms -- 1 Introduction -- 2 Research Approach -- 3 RQ1: Research Issues of Streaming Data Analytics -- 3.1 Concept Drift -- 3.2 Resource Optimization -- 3.3 Distributed and Parallel Systems -- 3.4 Overfitting/Underfitting -- 3.5 Class Imbalance -- 3.6 Other Research Issues -- 4 RQ2: Classification Algorithms for Streaming Data -- 5 Performance Metrics -- 5.1 Prediction Accuracy -- 5.2 Kappa -- 5.3 Learning Time or Execution Time -- 5.4 Error Rate -- 5.5 RMSE (Root Mean Square Error) -- 5.6 Tree Size/Number of Nodes -- 5.7 Other Metrics -- 6 Streaming Data Platforms (RQ2) -- 7 Conclusion -- References. ; Modification of ElGamal Cryptosystem into Data Encryption and Signature Generation -- 1 Introduction -- 2 Preliminary -- 2.1 ElGamal Cryptography -- 2.2 ElGamal Digital Signature -- 2.3 Gaussian Integer -- 3 Modified ElGamal Over Integers -- 3.1 Proposed Algorithm for Confidentiality -- 3.2 Proposed Algorithm for Signature Generation -- 4 Application of Modified ElGamal Cryptosystem -- 5 Performance -- 5.1 Complexity -- 5.2 Comparison -- 6 Conclusion -- References -- Preparation of Sentiment tagged Parallel Corpus and Testing Its Effect on Machine Translation -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Collection of English Sentences -- 3.2 Translation Using Google Translate API -- 3.3 Shallow Parsing -- 3.4 Clause Identification -- 3.5 Sentiment Annotation -- 3.6 Character Based Neural Machine Translation -- 4 Results -- 4.1 Evaluation -- 5 Conclusion and Future Scope -- References -- Privacy-Preserving Association Rule Mining in Distributed Database Environment: A Review -- 1 Introduction -- 2 Big Data -- 3 Ownership of Data -- 3.1 Security Cameras, Surveillance -- 3.2 Medical Data -- 3.3 Cloud Services -- 4 Privacy -- 5 Model of Privacy -- 6 Conclusion -- References -- The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice -- 1 Introduction -- 2 Method -- 2.1 Sample Design -- 2.2 Analysis of the Principal Components -- 3 Results -- 3.1 Production -- 3.2 Negotiation and Postharvest Management -- 4 Conclusions -- References -- Multidimension Tensor Factorization Collaborative Filtering Recommendation -- 1 Introduction -- 2 State of the Art -- 2.1 RS Based on Content -- 2.2 Collaborative Filtering Technique -- 2.3 The Proposed MD-TFCF Mechanism -- 3 Analysis of Filtering Techniques -- 4 Conclusions -- References. ; A Recent Survey of SVD- and DWT-Based Digital Image Watermarking Theories and Techniques: A Review -- 1 Introduction -- 1.1 SVD Watermarking -- 1.2 DWT Watermarking -- 1.3 Arnold Cat Map -- 2 Combined Approach of DWT and SVD Image Watermarking -- 2.1 Image Watermarking Algorithm based on DWT-SVD -- 3 Conclusion -- References -- Image Retrieval Scheme Using Efficient Fusion of Color and Shape Moments -- 1 Introduction -- 2 Proposed Image Retrieval Methodology -- 2.1 Laplacian Filter Based Preprocessing -- 2.2 Histogram-Based Color Moments -- 2.3 Multiresolution Based Shape Moments -- 2.4 Fused Features -- 2.5 Similarity Measure and Evaluation Metrics -- 3 Experimental Results and Discussions -- 4 Conclusions -- References -- Detection of Unattended Luggage in Public Places: A Review -- 1 Introduction -- 2 Research in Abandoned Luggage Detection -- 2.1 Static Foreground Detection -- 2.2 Classification -- 2.3 Back-Tracing for Owner Detection -- 2.4 Deep Learning Approaches to Abandoned Luggage Detection -- 2.5 Other Methods -- 3 Datasets -- 3.1 PETS 2006 -- 3.2 ILIDS for AVSS2007 -- 3.3 ABODA -- 4 Performance Comparison -- 4.1 Discussion -- 5 Conclusion -- References -- Malware Detection Using Machine Learning Approach -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Comparative Study of Faster Region-Based Convolutional Neural Networks with Inception V2 and Single Shot Detector with Inception V2 on Their Signature Detection Capabilities -- 1 Introduction -- 1.1 Challenges -- 1.2 Faster R-CNN -- 1.3 Single Shot Detector (SSD) -- 1.4 Objective -- 2 Literature Review -- 3 Methodology -- 4 Results and Analysis -- 4.1 Dataset -- 4.2 Platform and Environment Specification -- 4.3 Configuration Parameters -- 4.4 Training Results -- 4.5 Testing Results -- 5 Conclusions -- References. ; Association Rules Extraction from Date's Product Dataset Using the Apriori Algorithm -- 1 Introduction -- 2 Type of Transactions -- 3 Efficient Analysis of Type II Transactions -- 3.1 Refinement -- 3.2 Unrelated Items -- 4 Experimentation -- 5 Conclusion -- References -- Sleep Stage Classification Based on Ensemble Decision Tree Technique Using Single-Channel EEG -- 1 Introduction -- 2 Method -- 2.1 Data -- 2.2 EEG Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Classification Using Random Forest Method -- 2.5 Performance Measure of Classifier -- 3 Results and Discussion -- 4 Conclusion -- References -- Author Index.
• Titolo autorizzato: Proceedings of International Conference on Big Data, Machine Learning and Applications
• ISBN: 981-334-788-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484076403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems