Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 1 /

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research work by acade...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Abraham, Ajith (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dutta, Paramartha (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mandal, Jyotsna Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bhattacharya, Abhishek (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dutta, Soumi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Intelligent Systems and Computing, 755
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Emerging Technologies in Data Mining and Information Security  |h [electronic resource] :  |b Proceedings of IEMIS 2018, Volume 1 /  |c edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta. 
250 |a 1st ed. 2019. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2019. 
300 |a XXVIII, 861 p. 433 illus., 220 illus. in color.  |b online resource. 
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490 1 |a Advances in Intelligent Systems and Computing,  |x 2194-5357 ;  |v 755 
505 0 |a Chapter 1: Application of ANN for On-line Monitoring and Security Estimation of Power System -- Chapter 2: Crop Prediction Models - A Review -- Chapter 3: Rainfall Prediction : A Comparative study of Neural Network architectures -- Chapter 4: Prediction of Bacteriophage Protein Locations Using Deep Neural Networks -- Chapter 5: Classification of Phishing Websites using Moth-flame Optimized Neural Network -- Chapter 6: Design and Analysis of Intrusion Detection System via Neural Network, SVM and Neuro fuzzy -- Chapter 7: Grammar-based White-box Testing via Automated Constraint Path Generation. 
520 |a This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 0 |a Computer security. 
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650 2 4 |a Systems and Data Security.  |0 http://scigraph.springernature.com/things/product-market-codes/I28060 
700 1 |a Abraham, Ajith.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Dutta, Paramartha.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Mandal, Jyotsna Kumar.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Bhattacharya, Abhishek.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Dutta, Soumi.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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