Big data analysis using Apache Hadoop

SG Manikandan, S Ravi - 2014 International Conference on IT …, 2014 - ieeexplore.ieee.org
We live in on-demand, on-command Digital universe with data prolifering by Institutions,
Individuals and Machines at a very high rate. This data is categories as" Big Data" due to its …

[HTML][HTML] Regulatory learning: How to supervise machine learning models? An application to credit scoring

D Guegan, B Hassani - The Journal of Finance and Data Science, 2018 - Elsevier
Abstract The arrival of Big Data strategies is threatening the latest trends in financial
regulation related to the simplification of models and the enhancement of the comparability …

[PDF][PDF] Applications of big data analytics for diagnosing diabetic mellitus: issues and challenges

S Shyni, RSM Joshitta, L Arockiam - International Journal of …, 2016 - researchgate.net
Today, the world has been excited about big data and the advancement in analytics. Big
Data has an incredible influence from global market to the day-today life. Big Data is the …

Challenges of big data to big data mining with their processing framework

KK Pandey - 2018 8th international conference on …, 2018 - ieeexplore.ieee.org
Big data is an emerging trend and need of industries, sciences, and engineering area
because all areas are having a lot of data and these data have given a result for a particular …

Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing

L Djafri - Data Technologies and Applications, 2022 - emerald.com
Purpose This work can be used as a building block in other settings such as GPU, Map-
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …

Real time streaming data storage and processing using storm and analytics with Hive

D Surekha, G Swamy… - 2016 International …, 2016 - ieeexplore.ieee.org
In big data world, Hadoop Distributed File System (HDFS) is one of the famous file system to
store huge data. HDFS will take care about managing and maintaining the data in …

[PDF][PDF] A study on evolution of data in traditional RDBMS to big data analytics

S Mohanty, K NathRout, S Barik, SK Das… - International Journal of …, 2015 - academia.edu
The volume of data that enterprise acquires every day is increasing rapidly. The enterprises
do not know what to do with the data and how to extract information from this data. Analytics …

[PDF][PDF] Unstructured data analysis and processing using Big Data tool-Hive and machine learning algorithm-linear regression

N Mangla, P Rathod - Int. J. Comput. Eng. Technol., 2018 - researchgate.net
Big data represents the information assets characterized by a high volume, velocity and
variety to require specific technology and analytical methods for its transformation into value …

[HTML][HTML] A survey on big data and its challenges related to IoT

S Mohanty, SK Das, S Barik… - International Conference …, 2023 - researchgate.net
Now a day's Big Data is an emerging technology that has an ability to change the world. It
solves the velocity-volume-variety problem. While dealing with unstructured and structured …

[PDF][PDF] ROCK clustering algorithm based on the P system with active membranes

Y Zhao, X Liu, W Wang - WSEAS Transactions on Computers, 2014 - wseas.us
The ROCK algorithm plays an important role in data mining and data analysis, which can
help people discover knowledge from large amounts of data. In this paper, an improved …