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.