arbiter
JournalsPricingAccount

Eliminating duplicate values of enterprise financial big data based on dynamic grid generation technology

Andi Liu

International Journal of Information Technology and Management2026https://doi.org/10.1504/ijitm.2026.152451article
AJG 1
Weight
0.50

What the paper says

No abstract available.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijitm.2026.152451

Or copy a formatted citation

@article{andi2026,
  title        = {{Eliminating duplicate values of enterprise financial big data based on dynamic grid generation technology}},
  author       = {Andi Liu},
  journal      = {International Journal of Information Technology and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijitm.2026.152451},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Eliminating duplicate values of enterprise financial big data based on dynamic grid generation technology

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.