Search Results - subject:"Mapreduce"

A Review of Infrastructures to Process Big Multimedia Data

Salvador, Jaime; Ruiz, Zoila; Garcia-Rodriguez, Jose - In: International Journal of Computer Vision and Image … 7 (2017) 3, pp. 54-64

In the last years, the volume of information is growing faster than ever before, moving from small to huge, structured to unstructured datasets like text, image, audio and video. The purpose of processing the data is aimed to extract relevant information on trends, challenges and opportunities;...

Persistent link: https://www.econbiz.de/10012043836

Efficient Implementation of Hadoop MapReduce based Business Process Dataflow

Belkadi, Khaled; Boudia, Mohamed Amine; Meddah, Ishak H.A. - In: International Journal of Decision Support System … 9 (2017) 1, pp. 49-60

Hadoop MapReduce is one of the solutions for the process of large and big data, with-it the authors can analyze and … MapReduce, they have two parts the first is the Map Step, they mine patterns from execution traces and the second is the … and precise. It reduces the execution time by the use of Hadoop MapReduce Framework. …

Persistent link: https://www.econbiz.de/10012044127

Aras: A Method with Uniform Distributed Dataset to Solve Data Warehouse Problems for Big Data

Barkhordari, Mohammadhossein; Niamanesh, Mahdi - In: International Journal of Distributed Systems and … 8 (2017) 2, pp. 47-60

MapReduce-based method that introduces a data set on each mapper. By applying this method, each mapper node can execute its …

Persistent link: https://www.econbiz.de/10012044181

Parallel Distributed Patterns Mining Using Hadoop MapReduce Framework

Meddah, Ishak H. A.; Belkadi, Khaled - In: International Journal of Grid and High Performance … 9 (2017) 2, pp. 70-85

The treatment of large data is proving more difficult in different axes, but the arrival of the framework MapReduce is … these patterns in parallel, and then combine those small patterns using the MapReduce framework. They have two parties: the … precise. It minimizes the execution time by the use of the MapReduce framework. …

Persistent link: https://www.econbiz.de/10012045052

Hadoop Map Only Job for Enciphering Patient-Generated Health Data

Jain, Arushi; Bhatnagar, Vishal - In: International Journal of Information Retrieval Research … 7 (2017) 4, pp. 72-86

Today, Big Data is being leveraged in many industries from criminal justice to health care to real estate with powerful outcomes. Organizations are using Big Data to predict the future in turn making them smarter and efficient. All the health care data such as discharge and transfer patient data...

Persistent link: https://www.econbiz.de/10012045564

Big Data and Healthcare Data: A Survey

Sarkar, Bikash Kanti - In: International Journal of Knowledge-Based Organizations … 7 (2017) 4, pp. 50-77

Big data and its analytics yield a lot of opportunities to make great progresses in many fields, ranging from economic and business activities to public administration, from national security to scientific researches and so on. However, the most noticeable point is that healthcare data has been...

Persistent link: https://www.econbiz.de/10012046172

Big Data Management: Advanced Issues and Approaches

Kasemsap, Kijpokin - In: International Journal of Organizational and Collective … 7 (2017) 3, pp. 44-55

The objective of this article is to provide the advanced issues and approaches of big data management. The literature review indicates the overview of big data management; the aspects of Big Data Analytics (BDA); the importance of big data management; the methods for big data management; the...

Persistent link: https://www.econbiz.de/10012046770

Parallel Online Exact Summation of Floating-point Numbers by Applying MapReduce of Java8

Sakamoto, Naoshi - In: International Journal of Software Innovation (IJSI) 5 (2017) 2, pp. 17-32

method is called for a stream of floating-point numbers, the summation is calculated at high-speed by applying MapReduce … applied to a stream with MapReduce. Their method can calculate at high-speed with keeping correctly rounded. …

Persistent link: https://www.econbiz.de/10012047787

An intelligent approach to Big Data analytics for sustainable retail environment using Apriori-MapReduce framework

Verma, Neha; Singh, Jatinder - In: Industrial Management & Data Systems 117 (2017) 7, pp. 1503-1520

implementation of association between MapReduce based Apriori association mining and Hadoop-based intelligent cloud architecture …

Persistent link: https://www.econbiz.de/10014826096

Extracting-Transforming-Loading Modeling Approach for Big Data Analytics

Bala, Mahfoud; Boussaid, Omar; Alimazighi, Zaia - In: International Journal of Decision Support System … 8 (2016) 4, pp. 50-69

Due to their widespread use, Internet, Web 2.0 and digital sensors create data in non-traditional volumes (at terabytes and petabytes scale). The big data characterized by the four V's has brought with it new challenges given the limited capabilities of traditional computing systems. This paper...

Persistent link: https://www.econbiz.de/10012044123