International Journal of Data Science and Analytics View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

2016

PUBLISHER

Springer International Publishing

LANGUAGE

en

HOMEPAGE

https://link.springer.com/journal/41060

Recent publications latest 20 shown

  • 2021-12-23 Detecting computer-generated disinformation
  • 2021-12-02 Mining subgraph coverage patterns from graph transactions
  • 2021-11-22 Characterizing and predicting fake news spreaders in social networks
  • 2021-11-11 Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis
  • 2021-11-09 Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database
  • 2021-10-13 Graph sparsification with graph convolutional networks
  • 2021-10-02 Anonymization of German financial documents using neural network-based language models with contextual word representations
  • 2021-09-27 Introduction to the special issue on data science in Asia (with PAKDD’2020)
  • 2021-09-24 An analysis of the impact of policies and political affiliation on racial disparities in COVID-19 infections and deaths in the USA
  • 2021-09-22 Prescriptive analytics with differential privacy
  • 2021-09-17 A novel ensemble deep learning model for stock prediction based on stock prices and news
  • 2021-09-12 A novel unsupervised method for anomaly detection in time series based on statistical features for industrial predictive maintenance
  • 2021-09-07 Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
  • 2021-09-03 Identification of token contracts on Ethereum: standard compliance and beyond
  • 2021-08-28 Comparative analysis of different crossover structures for solving a periodic inventory routing problem
  • 2021-08-05 Data science and AI in FinTech: an overview
  • 2021-08-05 Aspect-based sentiment analysis of mobile phone reviews using LSTM and fuzzy logic
  • 2021-08-04 On the nature and types of anomalies: a review of deviations in data
  • 2021-08-04 Clustering refinement
  • 2021-08-02 Correction to: Conventional displays of structures in data compared with interactive projection-based clustering (IPBC)
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

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