Recent Trends in Programming languages
Volume 4, Issue 3 (2017)
Published
Table of contents
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Data Mining Methods for Large Data
Abstract: AbstractHigh dimensional data order ends up plainly difficult assignment since information are substantial, complex to deal with, heterogeneous and progressive. Keeping in mind the end goal to lessen the informational index without influencing the classifier precision. The element determination assumes a fundamental part in huge datasets and which expands the proficiency of arrangement to pick the vital highlights for high dimensional grouping, when those highlights are superfluous or corresponded. Along …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 1–6 Read article
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Neural Network Model Prediction: A prediction model for Toxin release in environment from E-Waste
Abstract: — There is an exponential increase in the use of electronic devices, especially mobile gadgets. Earlier people used to replace their gadgets only when they were damaged but it is not the case now. Damages are no longer the only reason for disposing of electronic devices, where technical worn out, new product features, better aesthetics and emotional value are having strong influences to the disposal of the devices. This paper …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 16–20 Read article
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Secure Cloud Architecture for Service Oriented Applications
Abstract: Abstract: Cloud computing has changed the design of data storing and application serving infrastructures in industries. It has provided methods by which developers and architects can easily serve application to users without worrying about downtime and hardware. The need of developing infrastructure in house is becoming obsolete, mainly because of the cost of maintaining the servers and their security. The architecture proposed in the paper helps in maintaining the application …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 21–28 Read article
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To Maintain Public conservation for Secure Mobile Cloud Storage
Abstract: Abstract- In cloud computing, one of the center plan standards is dynamic versatility, which ensures cloud storage administration to deal with developing measures of utilization information in an adaptable way or to be promptly augmented. By integrating multiple private and public cloud services, hybrid clouds can effectively provide dynamic scalability of service and data migration. Security plays a vital during the transmission of data from the sender to the receiver …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 29–39 Read article
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Breast Cancer Diagnosis Using Data Mining Classification Techniques Using Weka
Abstract: Breast cancer is currently posing a serious threat and is the second leading cause of death in women. A good and accurate diagnosis is important in order to control the very high recurrence rate of breast cancer. In this work, we explore the applicability of various data mining classifier to predict the presence of breast cancer. The performance of conventional supervised learning algorithms such as NaïveBayes, J4.8, SMO, IBk and …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 7–15 Read article