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Machine Learning Techniques and Analytics for Cloud Security


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calculates the actual number of positives recorded by our model, i.e., what proportions of actual positives was identified correctly.

A bar graph depicts F-score for lung and colon using precision. A bar graph depicts F-score for lung and colon dataset using recall. A bar graph depicts F1 score for lung and colon dataset.

      It should be noted that the generalized formula for F-score is actually known as Fβ-score. The F-score when used in a regulated manner helps us to weight recall and precision more accurately for our working model. The equation in that becomes little different.

      Table 3.1 Resultant genes (gene symbols) identified by PC-LR method.

Significant true positive genes for lung cancer
KRAS CHRNA3 MIF GSTP1
TP53 SOX9 MAP2K1 VDR
IGFIR TNF RET SYK
IFGBP3 CDH2 MET PGR
STAT3 CDH1 TGFB1 IL10

      3.5 Application in Cloud Domain

      Cloud computing is a terminology widely used in the field of information technology. It illustrates the basic idea about how an end user can avail different types of resources related to IT like software services and hardware resources. There is no standard accepted definition about cloud is available. But still, it could be defined as a set of virtualized computers which are interconnected and provisions are made dynamically to make them available as computing resources depending on service level agreement. Several categories of services are available in cloud computing domain.

       Infrastructural service: Here, different computational resources like processors and storage are provided to the end users in raw format. In this model, users are allowed to install different supplications as well as the operating system in the infrastructure provided to them. This can be thought as users are getting some space for computational purpose on a rental basis. So, the cloud domain can be effectively utilized as research tool for genomic study.

       Platform service: While developing and launching new software applications this type of service becomes very important as it needs proper platform for the purpose of implementation.

      Table 3.2 Resultant genes (gene symbols) identified by PC-LR method.

Significant true positive genes for colon cancer
MSH2 IGF1 PKM IL33
TP53 CCND1 MIF ITGA5
VEGFA VDR TERT CSK
PTGS2 IGF1R TAC1 SDC2
AKT1 HIF1A CDKN1A EGFR

       Software services: This type of service is required by users for different applications like Dropbox if storage is an issue or Google Docs in case the requirement is an application which is as good as word processor.

      In