Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal Conference proceedings 2

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Obstacle

Cognitive Radio-Oriented Wireless Networks with training of data model and inclusion of SVM classification. We have tested our model and novel algorithm “DataAutism” over large data set and figure out high precision, recall with accuracy approx. 89%.

Medley

Cognitive Radio-Oriented Wireless Networksrieval algorithms that use the common terms of statistical computation using expectation, mean, and variance. By using the concept of Sampling Distribution, we categorize our novel algorithm as ad hoc and filtering approaches. This paper deals with summarized statistical calculations and suggests a new model for relevancy and ranking of documents.

貴族

Comparative Evaluation of AVIRIS-NG and Hyperion Hyperspectral Image for Talc Mineral Identificatione location. In comparison, observed result shows that AVIRIS-NG has much accurate capability for identification of different minerals in the visible region along with the short-wave infrared portion of the electromagnetic spectrum.

步履蹣跚

Real-Time Scheduling Approach for IoT-Based Home Automation System novel communication protocol to control the home environment with the switching functionality. Our simulation results show that the proposed strategy is quite capable to achieve high performance with different simulation scenarios.

misshapen

DataAutism: An Early Detection Framework of Autism in Infants using Data Science with training of data model and inclusion of SVM classification. We have tested our model and novel algorithm “DataAutism” over large data set and figure out high precision, recall with accuracy approx. 89%.

arthroplasty

AnaBus: A Proposed Sampling Retrieval Model for Business and Historical Data Analyticsrieval algorithms that use the common terms of statistical computation using expectation, mean, and variance. By using the concept of Sampling Distribution, we categorize our novel algorithm as ad hoc and filtering approaches. This paper deals with summarized statistical calculations and suggests a new model for relevancy and ranking of documents.

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