DOLAP 2014 - Proceedings of the ACM 17th International Workshop on Data Warehousing and OLAP, co-located with CIKM 2014

Country

China

Universities and research institutions in China
Media Ranking in China

Subject Area and Category

Computer Science
- Computer Science Applications
- Information Systems

Decision Sciences
- Information Systems and Management

Social Sciences
- Education

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

It is our great pleasure to welcome you to the 17th ACM International Workshop on Data Warehousing and OLAP (DOLAP 2014). The DOLAP workshop continues its tradition of being a premier forum where both researchers and practitioners in Data Warehousing and On-Line Analytical Processing (OLAP) share their findings in theoretical foundations, methodologies, physical designs, new trends, and practical experiences. The mission of the DOLAP workshop is to identify and explore new directions for future research and development, as well as emerging application domains in the areas of data warehousing and OLAP. Traditional solutions and architecture designs in Data Warehousing and OLAP are evolving to cope with emerging application domains and data types, such as MPP, big data infrastructures, and analytics. In recent years, research in these areas has addressed emerging topics and has provided solutions toward building effective decision-support applications, deploying them on modern hardware, and aiming at improving optimization objectives as system performance. The call for papers attracted 24 submissions (22 regular papers and 2 short papers) from 17 different countries. The program committee reviewed and accepted 8 full papers and 4 short papers, resulting to an acceptance rate of 36% for full papers and 50% overall. The accepted papers span a wide variety of topics, including query processing and physical design, security issues for cloud data warehouses, handling of 'exotic' data like genomic and GPS data, location intelligence, optimization and data generation for data flows, and modeling issues for movement data, analytical metadata, and OLAP sessions. The program also includes an invited keynote talk by Prof. Minos Garofalakis from the Technical University of Crete, on querying big, dynamic, distributed data, and a panel on how DW and OLAP technologies can be used in big graph analytics.

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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
2015	0.220
2016	0.349
2017	0.279

Total Documents

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

Year	Documents
2015	0
2016	0
2017	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)	2015	1.067
Cites / Doc. (4 years)	2016	1.000
Cites / Doc. (4 years)	2017	1.200
Cites / Doc. (3 years)	2015	1.067
Cites / Doc. (3 years)	2016	1.000
Cites / Doc. (3 years)	2017	1.200
Cites / Doc. (2 years)	2015	1.067
Cites / Doc. (2 years)	2016	1.000
Cites / Doc. (2 years)	2017	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	2015	0
Self Cites	2016	0
Self Cites	2017	0
Total Cites	2015	16
Total Cites	2016	15
Total Cites	2017	18

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	2015	1.067
External Cites per document	2016	1.000
External Cites per document	2017	1.200
Cites per document	2015	1.067
Cites per document	2016	1.000
Cites per document	2017	1.200

% 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
2015	0
2016	0
2017	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	2015	2
Non-citable documents	2016	2
Non-citable documents	2017	2
Citable documents	2015	13
Citable documents	2016	13
Citable documents	2017	13

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	2015	9
Uncited documents	2016	7
Uncited documents	2017	6
Cited documents	2015	6
Cited documents	2016	8
Cited documents	2017	9

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2015	0.00
2016	0.00
2017	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	2015	0
Overton	2016	0
Overton	2017	0

Documents related to SDGs (UN)

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

Documents	Year	Value

Estimated APC

It estimates the article processing charges (APCs) a journal might charge, based on its visibility, prestige, and impact as measured by the SJR. It does not reflect the actual APC, but rather a calculated approximation based on journal quality.

Year	Est. APC (USD)
2015	2518
2016	2640
2017	2637

Estimated financial value

It represents the potential financial worth of a journal. It is obtained by multiplying the journal's Estimated APC by the total number of citable documents published over the past five years. This value reflects the hypothetical revenue a journal could generate based on its estimated publication costs and scholarly output.