04420nam 22007575 450 991048476670332120251230061604.0981-15-1420-810.1007/978-981-15-1420-3(CKB)4100000011254798(MiAaPQ)EBC6202713(DE-He213)978-981-15-1420-3(PPN)248395289(MiAaPQ)EBC29081009(EXLCZ)99410000001125479820200519d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierICDSMLA 2019 Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications /edited by Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (2,010 pages)Lecture Notes in Electrical Engineering,1876-1119 ;601981-15-1419-4 Includes bibliographical references.1. Intrusion detection system using soft computing techniques: A review -- 2. Machine Learning Based Outlook for the Analysis of SNP-SNP Interaction for Biomedical Big Data -- 3. A Compendium on Network and Host based Intrusion Detection Systems -- 4. Performance Evaluation of Stochastic gammatone filters -- 5. Optimization of Multi-way Join Cost using System R* and SharesSkew -- 6. Study of K-Means Clustering Algorithm for Identification of Dengue Fever Hotspots -- 7. WhatsApp: A Business Tool in Unorganized Retail with reference to TAM -- 8. A framework for the RNA-Seq based classification and prediction of disease -- 9. Bio-Inspired AI optimization techniques to evaluate data rate and minimize interference in Cognitive Cellular Network -- 10. Reduction of PAPR in OFDM Signals Using Grey Wolf Optimization combined with SLM -- 11. Idiom Recommendation using POS tagging and Sentence Parsing -- 12. Indian and European Script Identification: A Review -- 13. Analysis of Iris Identification System by using Hybrid Based PSO Classifier -- 14. A Review on Handwritten Indian Script Identification -- 15. Intelligent Medicine Box for Medication Management using Internet-of Things.This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.Lecture Notes in Electrical Engineering,1876-1119 ;601Computational intelligenceQuantitative researchArtificial intelligenceApplication softwareNeural networks (Computer science)Big dataComputational IntelligenceData Analysis and Big DataArtificial IntelligenceComputer and Information Systems ApplicationsMathematical Models of Cognitive Processes and Neural NetworksBig DataComputational intelligence.Quantitative research.Artificial intelligence.Application software.Neural networks (Computer science).Big data.Computational Intelligence.Data Analysis and Big Data.Artificial Intelligence.Computer and Information Systems Applications.Mathematical Models of Cognitive Processes and Neural Networks.Big Data.006.3Kumar Amitedthttp://id.loc.gov/vocabulary/relators/edtPaprzycki Marcinedthttp://id.loc.gov/vocabulary/relators/edtGunjan Vinit Kumaredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910484766703321ICDSMLA 20192241077UNINA