Machine learning with big data: Challenges and approaches

A L'heureux, K Grolinger, HF Elyamany… - Ieee …, 2017 - ieeexplore.ieee.org
The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

A Fernández, S del Río, V López… - … : Data Mining and …, 2014 - Wiley Online Library
The term 'Big Data'has spread rapidly in the framework of Data Mining and Business
Intelligence. This new scenario can be defined by means of those problems that cannot be …

From big data to big data mining: challenges, issues, and opportunities

D Che, M Safran, Z Peng - … : BDMA, SNSM, SeCoP, Wuhan, China, April 22 …, 2013 - Springer
While “big data” has become a highlighted buzzword since last year,“big data mining”, ie,
mining from big data, has almost immediately followed up as an emerging, interrelated …

Frequent itemset mining for big data

S Moens, E Aksehirli, B Goethals - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
Frequent Itemset Mining (FIM) is one of the most well known techniques to extract
knowledge from data. The combinatorial explosion of FIM methods become even more …

The family of mapreduce and large-scale data processing systems

S Sakr, A Liu, AG Fayoumi - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data which has called for a paradigm shift in the computing …

Taurus: a data plane architecture for per-packet ML

T Swamy, A Rucker, M Shahbaz, I Gaur… - Proceedings of the 27th …, 2022 - dl.acm.org
Emerging applications---cloud computing, the internet of things, and augmented/virtual
reality---demand responsive, secure, and scalable datacenter networks. These networks …

PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce

M Riondato, JA DeBrabant, R Fonseca… - Proceedings of the 21st …, 2012 - dl.acm.org
Frequent Itemsets and Association Rules Mining (FIM) is a key task in knowledge discovery
from data. As the dataset grows, the cost of solving this task is dominated by the component …

A survey of cloud-based network intrusion detection analysis

N Keegan, SY Ji, A Chaudhary, C Concolato… - … -centric Computing and …, 2016 - Springer
As network traffic grows and attacks become more prevalent and complex, we must find
creative new ways to enhance intrusion detection systems (IDSes). Recently, researchers …

[PDF][PDF] Облачные технологии: основные понятия, задачи и тенденции развития

ТВ Батура, ФА Мурзин… - … продукты, системы и …, 2014 - scholar.archive.org
В статье делается обзор по облачным информационным технологиям. Под облачными
вычислениями (от англ. cloud computing, также используется термин «облачная …

Big graph mining: Frameworks and techniques

S Aridhi, EM Nguifo - Big Data Research, 2016 - Elsevier
Big graph mining is an important research area and it has attracted considerable attention. It
allows to process, analyze, and extract meaningful information from large amounts of graph …