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Big Data Analytics

BMC · United Kingdom

eISSN2058-6345

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

Aims & Scope✦ Inferred from recent articles

Big Data Analytics explores the application of analytical techniques to large datasets across various sectors including smart grids, government, healthcare, entertainment, banking, and retail. It covers machine learning algorithms, data monitoring, storage solutions, platform characteristics, and debugging for optimal performance. The scope also includes the role of cloud computing, bioinformatics, and the fundamental concepts, challenges, and future trends of big data.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionUnited Kingdom

Primary LanguageEnglish

1st Year Published—

StatusActive

Total Publications—

Publisher OrgSpringer Science+Business Media

Visit Journal Website

Submission Info

Peer ReviewAnonymous peer review

Review Time—

Acceptance Rate—

OA LicenseCC BY, CC0

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

8/12 · 67%

✅

Do you know the journal / publisher?

BMC

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

2058-6345

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

❌

Plagiarism detection in place?

N/A

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Big Data and Business IntelligenceBig Data Technologies and ApplicationsCloud Computing and Resource ManagementData Stream Mining TechniquesData Mining Algorithms and ApplicationsData Quality and ManagementMachine Learning and Data ClassificationArtificial Intelligence in HealthcareComplex Network Analysis TechniquesFace and Expression Recognition