Annals of Statistical Data

ISSN: Application under review

Annals of Statistical Data
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Aim & Scope

Annals of Statistical Data (ASD) aims to publish the latest and high-quality research papers and methodologies in data analytics. It covers a wide range of fields including statistics, biostatistics, big data, artificial intelligence, business, economics and finance, biological science, medical and medicine research etc. Papers on statistics, biostatistics, econometrics, computational methodologies, and numerical simulations are especially welcome if they are applicable to the journal’s key topics of interest. The journal also welcomes research on big data in business today, including, but not limited to the applications of new big data technologies, data mining techniques, Internet commerce, and cloud computations. All the published papers are submitted to the different reputed indexing services for international indexing.

Scope

We believe that every field has equal importance and generic knowledge value. Therefore we have included all the subjects to showcase recent finding. Mentioned below are the subjects supported by ASD for publication. ASD has wide range of scope in the following field:

  • Artificial Intelligence
  • Big Data Modeling, Computing, Indexing, Query Processing, Mapping
  • Biology (Bioinformatics)
  • Biostatistics
  • Business Analytics/Intelligence
  • Business/Economics and (Computational) Finance
  • Computer Science Database Management Systems
  • Data Analytics, Knowledge Discovery, Machine Learning, Deep Analytics and Deep Learning, and Intelligent Processing of Various Data
  • Data Management, Mining, Modeling, and Warehousing
  • Engineering
  • Exploiting and Developing Mathematical and Statistical Analytics and Algorithms
  • Geographic Information System
  • Healthcare, Medicine, and Pharmaceuticals
  • Management Science, Operations Research, and Management Information Systems
  • Mathematics/Statistics
  • Understanding and Analyzing Complex Data, Networks, Economic and Social Behaviors, and Artificial Intelligences
  • Social Statistics
  • Reviews, Surveys, and Opportunities in Data Analytics Research, Innovation, and Applications