Proceedings ArticleDOI
Predictive Analysis of Air Pollution Using Collaborative Filtering Prediction Algorithm
TLDR
A predictive model for monitoring air pollution level in different cities of India and publishing it as a web service using Collaborative Filtering Prediction Algorithm is implemented.Abstract:
Growing trends in Air pollution is possessing threat to environment. Various Researchers have extended their work in predicting air pollution using various predictive analytics. In this paper, we are implementing a predictive model for monitoring air pollution level in different cities of India and publishing it as a web service .The algorithm being used is Collaborative Filtering Prediction Algorithm. A comparison has also been carried out in different predictive analytics mainly using Machine Learning techniques such as regression and Deep Learning Technique and Collaborative filtering techniqueread more
Citations
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Book ChapterDOI
Air Quality Monitoring System Using Machine Learning and IoT
TL;DR: In this article, the authors developed an air quality monitoring system using machine learning with Internet of Things (IoT), an Internet server network of physical nodes, and ThingSpeak, acting as a middleman for the captured data between the hardware component and the algorithm for air pollution classification.
References
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Book
Software Architecture in Practice
TL;DR: This second edition of this book reflects the new developments in the field and new understanding of the important underpinnings of software architecture with new case studies and the new understanding both through new chapters and through additions to and elaboration of the existing chapters.
Proceedings ArticleDOI
bLSM: a general purpose log structured merge tree
Russell Sears,Raghu Ramakrishnan +1 more
TL;DR: In this article, the authors present bLSM, a Log Structured Merge (LSM) tree with the advantages of B-Trees and log structured approaches, which has near-optimal read and scan performance and its new "spring and gear" merge scheduler bounds write latency without impacting throughput or allowing merges to block writes for extended periods of time.
Book ChapterDOI
Aspects of data-intensive cloud computing
Sebastian Frischbier,Ilia Petrov +1 more
TL;DR: This paper identifies the technological issues coming along with this new paradigm and discusses the requirements to be met by Cloud solutions in order to provide a meaningful alternative to on-premise configurations.