Rainfall Prediction Using Data Visualisation Techniques

Joshi, Y. K.; Chawla, Udit; Shukla, Supriya

doi:10.1109/confluence47617.2020.9057928

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Model A visual summary of the data makes it convenient to identify and analyse the patterns, trends, behaviour or outliers and it is much more efficient than skimming through millions of values in spreadsheets [21] . A visualized data is easy and valuable to read since we gain better insights, images, diagrams or graphs to communicate a particular message.…”

Section: Method-3mentioning

confidence: 99%

Time Series Analysis and Forecasting of Precipitation (Rainfall) Data

Talhar¹,

Ramgirkar²,

Jena³

2022

ECS Trans.

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According to Mattew Rodell, chief of the Hydrological Sciences Laboratory at NASA's Goddard Space Flight Center, "Groundwater in northern India is being depleted at a rate of 19.2 gigatons per year." Furthermore, a report by NITI (National Institution for Transforming India) Aayog claimed that 40 percent of India's population will have no access to drinking water by 2030. It is an undisputed fact that the water crisis is a grave issue that we face today and facts like these, forces us to experiment with new plans and measures to carefully sustain our resources. Predicting rainfall is a significant step to mitigate plans related to water crisis and helps us to effectively use water resources, manage crop productivity and plan water structures. This work also aims to compare among efficient models (such as ML, and DL) to determine the best one for predicting the rainfall with higher accuracy. The raison d’etre of this paper is to study and develop efficient models and compare them to determine an approach that can predict rainfall with higher accuracy.

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Section: Method-3mentioning

confidence: 99%

Time Series Analysis and Forecasting of Precipitation (Rainfall) Data

Talhar¹,

Ramgirkar²,

Jena³

2022

ECS Trans.

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“…In this cloud computing there is no limit on how much data is going to be stored and it's easy to access the data as data is stored virtually on the cloud. [3] The data which is getting generated might be structured or unstructured or semi structured. It might be string data or numerical or image data.…”

Section: Introductionmentioning

confidence: 99%

“…The final structured data will be stored in the form of fragments and these fragments will be stored in the form of customized patterns and preexisting patterns for providing high level security for the data [3]. In the proposed system if there is a need for third party, same can be involved without any hesitation.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Archana¹,

Murtugudde²

2022

IJACSA

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Cloud Computing is getting popularized with the invention of latest technologies like Big Data, Artificial Intelligence, Data Science etc. The biggest challenge faced by researchers is efficient ways of accessing the data and acquiring the required results. The efficiency of the system will help the researchers to go one step further in the field of cloud computing. Alongside of storing the data in an optimal way, one biggest challenge faced by the researchers is security. How best security can be enhanced for this data in order to protect the end system from data thefts and illegal attacks. In this paper the proposed research concentrates on customized data visualization techniques that have been developed in order to store the data and also enhance the data security. These visualization patterns are dynamic in nature and can be further extended based on the need and level of the security required by the application. The proposed research in this paper will help researchers to implement the data visualization techniques with enhanced security in the real time data stored in the cloud from unauthorized access and various attacks like Malware etc. and these data patterns are dynamic in nature which will be selected based on the number of fragments need to be stored pertaining to particular cluster or region. The patterns will be selected based on two factors basically, one is the number of fragments and another important factor is how many nodes are available in the pattern. This proposed research will give an additional strength to the Cloud Computing Platforms like AWS and Google Cloud where the customers can feel that their data is in safe hands. Today when we are living in the data world, the need of this system is very much essential as it enhances the security of the data.

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