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Data, Engineering and Applications : Volume 2 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer
Data, Engineering and Applications : Volume 2 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 343 p. 166 illus., 103 illus. in color.)
Disciplina 005.7
Soggetto topico Big data
Data mining
Artificial intelligence
Big Data
Data Mining and Knowledge Discovery
Artificial Intelligence
ISBN 981-13-6351-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Efficient Map-Reduce Framework Using Summation -- Secret image sharing over cloud using one dimensional chaotic map -- Design and Development of a Cloud-based Electronic Medical Records (EMR) System -- Implementation of a secure Cloud computing authentication using Elliptic curve Cryptography -- Log-based Approach for Security Implementation in Cloud CRM’s -- Performance Analysis of Scheduling Algorithms in Apache Hadoop -- Energy Aware Prediction Based Load Balancing Approach with VM Migration for the Cloud Environment -- Authentication Process using Secure Sum for a New Node in Mobile Ad Hoc Network -- Certificate Revocation in Hybrid Ad-hoc Network -- NB tree based Intrusion detection technique using Rough set theory model -- An Energy Efficient Intrusion Detection System For Manet -- DDoS Attack Mitigation using Random and Flow Based Scheme -- Digital Image Watermarking Against Geometrical Attack -- Efficient key Management Approach for Vehicular Ad-hoc Network -- Image Forgery Detection: Survey and Future directions -- Comparative Study of Digital Forensic Tools -- A Systematic Survey on Mobile Forensic tools used for Forensic Analysis of Android based Social Networking Applications -- Enhanced and Secure Acknowledgement IDS in Mobile Adhoc Network by Hybrid Cryptography Technique -- Formal Verification of Causal Order Based Load Distribution Mechanism Using Event-B.
Record Nr. UNINA-9910350230103321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data, Engineering and Applications : Volume 1 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer
Data, Engineering and Applications : Volume 1 / / edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VIII, 191 p. 89 illus., 60 illus. in color.)
Disciplina 005.7
Soggetto topico Big data
Data mining
Artificial intelligence
Big Data
Data Mining and Knowledge Discovery
Artificial Intelligence
ISBN 981-13-6347-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A review of Recommender System and related Dimensions -- Collaborative Filtering Techniques in Recommendation Systems -- Predicting Users’ Interest through ELM basedCollaborative Filtering -- Application of Community Detection Technique in Text Mining -- Sentiment Analysis on WhatsApp Group Chat using R -- A Recent Survey on Information Hiding Techniques -- Investigation of Feature Selection Techniques on Performance of Automatic Text Categorization -- Identification and Analysis of Future User Interactions Using Some Link Prediction Methods in Social Networks -- Sentiment Prediction of Facebook Status updates of youngsters -- Logistic Regression for the Diagnosis of Cervical Cancer -- Automatic Examination Timetable Scheduling Using Particle Swarm Optimization and Local Search Algorithm -- Personality Trait Identification for Written Texts Using MLNB -- Deep neural network compression via knowledge distillation for embedded vision applications.
Record Nr. UNINA-9910350230203321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui