Backblaze-99L

Using the smart data of ST4000DM000 hard disk released by backblaze in 2022, the low-quality data set backblaze-99l is constructed by resetting labels, feature filtering and deleting data.In order to verify the effectiveness of the model, we deleted 99% of the data and added ssfd time series features on the data set collected by Nankai Baidu joint lab, named naikai-99. Name the initial dataset without deleting any data naikai-0

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/n6cj8
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Backblaze-99L

OSF Preprints (OSF Preprints)
Time Series Analysis and Forecasting
article

Backblaze-99L

article en

Abstract

Using the smart data of ST4000DM000 hard disk released by backblaze in 2022, the low-quality data set backblaze-99l is constructed by resetting labels, feature filtering and deleting data.In order to verify the effectiveness of the model, we deleted 99% of the data and added ssfd time series features on the data set collected by Nankai Baidu joint lab, named naikai-99. Name the initial dataset without deleting any data naikai-0

OSF Preprints (OSF Preprints)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Time Series Analysis and Forecasting
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Backblaze-99L · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS