Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science
- Artificial Intelligence
- Information Systems

Decision Sciences
- Information Systems and Management

Energy
- Fuel Technology

Engineering
- Automotive Engineering
- Electrical and Electronic Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Following the great success of DSAA’2014 in Shanghai, the 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA’2015), to be held on 19-21 October 2015 in Paris, has seen the significant growth of the number of submissions, participates, sponsors and key stakeholders. Without any doubt, DSAA has been recognized to be the first and most influential event in the data science and analytics focused community. Data driven scientific discovery and innovation and practical development, applications and economy have been increasingly recognized as the major trend of future IT and business. Data science, big data and advanced analytics play the most important role in driving data innovation and economy. DSAA thus carries a critical role in substantially promoting and strengthening the above trends and results. DSAA provides a premier forum that brings together researchers, industry practitioners, policy-makers, and users of data science, big data and advanced analytics. DSAA particularly promotes applications of DSAA theories and tools in different domains through encouraging collaborations and exchange of innovation, new insights and opportunities, and reporting the best practices in a wide range of real-life applications. The key areas of DSAA cover statistics, data analytics, data mining, business analytics, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, information retrieval, query and search, recommendation and services, infrastructure, management, privacy, security, as well as knowledge engineering, behavior sciences, visualization, and social network analysis and social media analysis.

Join the conversation about this journal

SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2016	0.159
2017	0.214
2018	0.261

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2016	0
2017	0
2018	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2016	0.913
Cites / Doc. (4 years)	2017	1.173
Cites / Doc. (4 years)	2018	1.559
Cites / Doc. (3 years)	2016	0.913
Cites / Doc. (3 years)	2017	1.173
Cites / Doc. (3 years)	2018	1.559
Cites / Doc. (2 years)	2016	0.913
Cites / Doc. (2 years)	2017	1.173
Cites / Doc. (2 years)	2018	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	116
Total Cites	2017	149
Total Cites	2018	198

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2016	0.913
External Cites per document	2017	1.173
External Cites per document	2018	1.559
Cites per document	2016	0.913
Cites per document	2017	1.173
Cites per document	2018	1.559

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2016	0
2017	0
2018	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2016	2
Non-citable documents	2017	2
Non-citable documents	2018	2
Citable documents	2016	125
Citable documents	2017	125
Citable documents	2018	125

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2016	67
Uncited documents	2017	59
Uncited documents	2018	58
Cited documents	2016	60
Cited documents	2017	68
Cited documents	2018	69

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2016	0.00
2017	0.00
2018	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2016	0
Overton	2017	0
Overton	2018	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0

Show this widget in your own website

Just copy the code below and paste within your html code:

SCImago Graphica

Explore, visually communicate and make sense of data with our new data visualization tool.