ICDSMLA 2019 : proceedings of the 1st International Conference on Data Science, Machine Learning and Applications /: proceedings of the 1st International Conference on Data Science, Machine Learning and Applications. (2020)

• Record Type: Book
• Further Information: Note: Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan, editors.
• Other Names: Kumar, Amit; Paprzycki, Marcin; Gunjan, Vinit Kumar; International Conference on Data Science, Machine Learning and Applications, 1st
• Contents: Intro -- Contents -- Intrusion Detection System Using Soft Computing Techniques: A Review -- Abstract -- 1 1 Introduction -- 2 2 Soft Computing -- 3 3 Methodology -- 3.1 Sources and Search Methods -- 3.2 Scope -- 3.3 Framework -- 4 4 The Target Subject Processes -- 4.1 Software Tools -- 4.2 Approach Contribution -- 4.3 Training and Testing Dataset -- 4.4 Applied Algorithm -- 5 5 Analysis -- 6 6 Discussion -- 7 7 Conclusion -- References -- Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data -- Abstract -- 1 Introduction 2 Role of SNPs in Biomedical and Healthcare -- 3 SNP-SNP Analysis Methods and Models -- 3.1 Logistic Regression Methods -- 3.2 Combinatorial Methods -- 3.3 Support Vector Machines -- 3.4 Bayesian Networks -- 4 Software Tools/Databases for SNP-SNP Interaction Analysis -- 5 Research Challenges Ahead -- 6 Conclusion -- References -- A Compendium on Network and Host Based Intrusion Detection Systems -- 1 Introduction -- 2 Big Data Analytics -- 3 Neural Networks -- 4 Deep Learning -- 5 Neural Networks and Deep Learning Techniques for Network Based IDS (NIDS) 6 Neural Networks and Deep Learning Techniques for Host Based IDS (HIDS) -- 7 Conclusion -- References -- Performance Evaluation of Stochastic Gammatone Filters -- Abstract -- 1 Introduction -- 2 Stochastic Gammatone Filters -- 3 Gain Balancing Techniques -- 4 Dynamic Scaling Techniques -- 5 Experimental Results and Conclusion -- References -- Optimization of Multi-way Join Cost Using System R* and SharesSkew -- Abstract -- 1 1 Introduction -- 2 2 Related Work -- 3 3 System R* Optimization -- 3.1 Description of R* Algorithm -- 3.2 Evaluation of Cost Function 3.3 Applying R* Algorithm on an Example -- 4 4 SharesSkew Algorithm Using MapReduce -- 4.1 Attribute Dominance -- 4.2 Relation Partition -- 4.3 Description of SharesSkew -- 4.4 Evaluation of Cost Function for Residual Joins -- 4.5 SharesSkew on Banking System -- 5 5 Conclusions -- References -- Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots -- Abstract -- 1 1 Introduction -- 2 2 Literature Review -- 2.1 Why K-Means Algorithm -- 2.2 Distance Metrics -- 3 3 Data Collection -- 4 4 Proposed Methodology -- 4.1 Determining Optimal Clusters -- 5 5 Results 6 6 Results -- References -- WhatsApp: A Business Tool in Unorganized Retail with Reference to TAM -- Abstract -- 1 Introduction -- 2 Review of Literature -- 3 Social Media and Retailing in India -- 4 Research Background -- 5 Reason for Selecting TAM -- 6 WhatsApp: A Tool for Business -- 7 Research Methodology -- 8 Data Collection and Measurement -- 9 Results and Discussion -- 9.1 Reliability and Validity Assessment -- 9.2 Confirmatory Factor Analysis (CFA) -- 9.3 Structural Equation Modeling (SEM) -- 10 Conclusion -- References
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (2010 pages)
• Subjects: 006.3; Artificial intelligence -- Congresses; Machine learning -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811514203; 9811514208
• Related ISBNs: 9789811514197
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