Advances in Data and Information Sciences Proceedings of ICDIS 2017, Volume 2 / edited by Mohan L. Kolhe, Munesh C. Trivedi, Shailesh Tiwari, Vikash Kumar Singh.

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 science...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kolhe, Mohan L. (Editor), Trivedi, Munesh C. (Editor), Tiwari, Shailesh (Editor), Singh, Vikash Kumar (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Lecture Notes in Networks and Systems, 39
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a Replica Control Following 1SR in DRTDBS Through Best Case of Transaction Execution -- 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 Learning Algorithms: A Comparative Knowledge Methodology -- Sentimental Analysis Using Tuned Ensemble Machine Learning Approach. 
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