ICDSMLA 2019 = proceedings of the 1s...
International Conference on Data Science, Machine Learning and Applications (2019))

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  • ICDSMLA 2019 = proceedings of the 1st International Conference on Data Science, Machine Learning and Applications /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: ICDSMLA 2019/ edited by Amit Kumar, Marcin Paprzycki, Vinit Kumar Gunjan.
    Reminder of title: proceedings of the 1st International Conference on Data Science, Machine Learning and Applications /
    other author: Kumar, Amit.
    corporate name: International Conference on Data Science, Machine Learning and Applications
    Published: Singapore :Springer Singapore : : 2020.,
    Description: xxi, 1988 p. :ill., digital ;24 cm.
    [NT 15003449]: 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.
    Contained By: Springer eBooks
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-15-1420-3
    ISBN: 9789811514203
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