[HTML][HTML] Reference architecture and classification of technologies, products and services for big data systems

P Pääkkönen, D Pakkala - Big data research, 2015 - Elsevier
Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …

Big data systems: A software engineering perspective

A Davoudian, M Liu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Leveraging big data analytics for understanding consumer behavior in digital marketing: A systematic review

L Theodorakopoulos… - Human Behavior and …, 2024 - Wiley Online Library
The integration of big data analytics in digital marketing has fundamentally transformed how
organizations understand and influence consumer behavior. This systematic review …

Fleet: Online federated learning via staleness awareness and performance prediction

G Damaskinos, R Guerraoui, AM Kermarrec… - ACM Transactions on …, 2022 - dl.acm.org
Federated learning (FL) is very appealing for its privacy benefits: essentially, a global model
is trained with updates computed on mobile devices while keeping the data of users local …

Summingbird: A framework for integrating batch and online mapreduce computations

O Boykin, S Ritchie, I O'Connell, J Lin - Proceedings of the VLDB …, 2014 - dl.acm.org
Summingbird is an open-source domain-specific language implemented in Scala and
designed to integrate online and batch MapReduce computations in a single framework …

[PDF][PDF] The lambda and the kappa

J Lin - IEEE Internet Computing, 2017 - cs.uwaterloo.ca
SEPTEMBER/OCTOBER 2017 61 same database, everything would be hunky dory,
right?(Short answer: it's an improvement but not a panacea; don't buy the hype completely.) …

Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning

S Dai, F Meng - Applied Intelligence, 2023 - Springer
Online federated learning (OFL) and online transfer learning (OTL) are two collaborative
paradigms for overcoming modern machine learning challenges such as data silos …

A general communication cost optimization framework for big data stream processing in geo-distributed data centers

L Gu, D Zeng, S Guo, Y Xiang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
With the explosion of big data, processing large numbers of continuous data streams, ie, big
data stream processing (BDSP), has become a crucial requirement for many scientific and …

Modernization of databases in the cloud era: Building databases that run like Legos

F Li - Proceedings of the VLDB Endowment, 2023 - dl.acm.org
Utilizing cloud for common and critical computing infrastructures has already become the
norm across the board. The rapid evolvement of the underlying cloud infrastructure and the …

[HTML][HTML] Social network search based on semantic analysis and learning

F Kou, J Du, Y He, L Ye - CAAI transactions on intelligence technology, 2016 - Elsevier
Because of everyone's involvement in social networks, social networks are full of massive
multimedia data, and events are got released and disseminated through social networks in …