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Advances in Data and Information Sciences

Proceedings of ICDIS 2017, Volume 2

Paperback Engels 2018 9789811302763
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational sciences and information security. In chapters written by leading researchers, developers and practitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology.

Specificaties

ISBN13:9789811302763
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

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Inhoudsopgave

Replica Control Following 1SR in DRTDBS Through Best Case of Transaction Execution.-&nbsp; FPGA Implementation of a Fast Scalar Point Multiplier for an Elliptic Curve Processor.- A Bloom Filter Based Data Deduplication for Big Data.- ITDA: CUBE – Less Architecture for Effective Multidimensional Data Analysis.- On Using Priority Inheritance Based Distributed Static Two Phase Locking Protocol.- A New Way to Find Way Using Depth Direction A*.- ECG Biometric Analysis Using Walsh Hadamard Transform.- A Priority Heuristic Policy in Mobile Distributed Real Time Database System.- A Proposal for Optimization of Horizontal Scaling in Big Data Environment.- A Literature Review on Hadoop Ecosystem and Various Techniques of Bigdata Optimization.- Smart Mobile Bot Detection Through Behavioral Analysis.- Compendium Depiction on the Applications of Cloud Robotics for the Reclamation of Mankind.- A Framework for Data Storage Security in Cloud.- Dynamic Sentiment Analysis Using Multiple Machine LearningAlgorithms: A Comparative Knowledge Methodology.- Sentimental Analysis Using Tuned Ensemble Machine Learning Approach.<p></p>

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        Advances in Data and Information Sciences