A helper package to get information of scholarly articles from DBLP using its public API.
import dblp
queries: list[str] = ...
results: list[dict] = dblp.search(queries)
results_with_ccf_class: list[dict] = dblp.add_ccf_class(results)import dblp
queries = [
'Anomaly Detection in Streams with Extreme Value Theory',
'Intelligent Detection of Large-Scale KPI Streams Anomaly Based on Transfer Learning',
'Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications',
'Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder',
'Advances in Cryptography and Secure Hardware for Data Outsourcing',
]
results = dblp.search(queries)The results will be:
[
{
"query": "Anomaly Detection in Streams with Extreme Value Theory",
"title": "Anomaly Detection in Streams with Extreme Value Theory.",
"year": "2017",
"venue": "KDD",
"doi": "10.1145/3097983.3098144",
"url": "https://doi.org/10.1145/3097983.3098144",
"bibtex": "https://dblp.org/rec/conf/kdd/SifferFTL17?view=bibtex"
},
{
"query": "Intelligent Detection of Large-Scale KPI Streams Anomaly Based on Transfer Learning",
"title": "Intelligent Detection of Large-Scale KPI Streams Anomaly Based on Transfer Learning.",
"year": "2019",
"venue": "Big Data",
"doi": "10.1007/978-981-15-1899-7_26",
"url": "https://doi.org/10.1007/978-981-15-1899-7_26",
"bibtex": "https://dblp.org/rec/conf/bdccf/DuanCX19?view=bibtex"
},
{
"query": "Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications",
"title": "Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.",
"year": "2018",
"venue": "WWW",
"doi": "10.1145/3178876.3185996",
"url": "https://doi.org/10.1145/3178876.3185996",
"bibtex": "https://dblp.org/rec/conf/www/XuCZLBLLZPFCWQ18?view=bibtex"
},
{
"query": "Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder",
"title": "Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder.",
"year": "2018",
"venue": "IPCCC",
"doi": "10.1109/PCCC.2018.8710885",
"url": "https://doi.org/10.1109/PCCC.2018.8710885",
"bibtex": "https://dblp.org/rec/conf/ipccc/LiCP18?view=bibtex"
},
{
"query": "Advances in Cryptography and Secure Hardware for Data Outsourcing",
"title": "Advances in Cryptography and Secure Hardware for Data Outsourcing.",
"year": "2020",
"venue": "ICDE",
"doi": "10.1109/ICDE48307.2020.00173",
"url": "https://doi.org/10.1109/ICDE48307.2020.00173",
"bibtex": "https://dblp.org/rec/conf/icde/0001BM20?view=bibtex"
}
]
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent