Classification of audio signals using SVM-WOA in Hadoop map-reduce framework
نویسندگان
چکیده
منابع مشابه
Handling Data Skew in Map Reduce Using Hadoop Libra
There are many efficient tools significantly uses Map Reduce applications that assigns data with their corresponding tasks in parallel and distributed data processing. LIBRA symbolizes the lightweight problems of data skew with input data applications that can overlap map and reduce strategies. This is one of the innovative and accurate distribution methods for intermediate data sampling with n...
متن کاملParallelization of genetic algorithms using Hadoop Map/Reduce
In this paper we present parallel implementation of genetic algorithm using map/reduce programming paradigm. Hadoop implementation of map/reduce library is used for this purpose. We compare our implementation with implementation presented in [1]. These two implementations are compared in solving One Max (Bit counting) problem. The comparison criteria between implementations are fitness converge...
متن کاملA Comparative Analysis of Join Algorithms Using the Hadoop Map/Reduce Framework
The Map/Reduce framework is a programming model recently introduced by Google Inc. to support distributed computing on very large datasets across a large number of machines. It provides a simple but yet powerful way to implement distributed applications without having deeper knowledge of parallel programming. Each participating node executes Map and/or Reduce tasks which involve reading and wri...
متن کاملMedical Application of Privacy Preservation by Big Data Analysis Using Hadoop Map Reduce Framework
The Map Reduce framework has become the de-facto framework for large-scale data analysis and data mining. The computer industry is being challenged to develop methods and techniques for affordable data processing on large datasets at optimum response times. The technical challenges in dealing with the increasing demand to handle vast quantities of data is daunting and on the rise. One of the re...
متن کاملBig Data Processing with Hadoop Map-reduce
The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus. The increasing volume and detail of information captured by enterprises, the rise of multimedia, social media, and the Internet of Things will fuel exponential growth in data ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SN Applied Sciences
سال: 2020
ISSN: 2523-3963,2523-3971
DOI: 10.1007/s42452-020-03870-0