The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Big data analytics on Apache Spark
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2010) · Cited by 4,411
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Koren, Y. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1401890.1401944 · Cited by 3,852
Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J. H., McCauley, M., Franklin, M. J. M., Shenker, S. J., & Stoica, I. G. (2012) · Cited by 3,622
Pregel: a system for large-scale graph processing
Malewicz, G., Austern, M. H., Bik, A. J. C., Dehnert, J. C., Horn, I., Leiser, N., & Czajkowski, G. (2010) · Proceedings of the 2010 ACM SIGMOD International Conference on Management of data · doi:10.1145/1807167.1807184 · Cited by 3,515
Apache Hadoop YARN: yet another resource negotiator
Vavilapalli, V. K., Murthy, A. C., Douglas, C., Agarwal, S., Konar, M., Evans, R., Graves, T., Lowe, J., Shah, H., Seth, S., et al. (2013) · Proceedings of the 4th annual Symposium on Cloud Computing · doi:10.1145/2523616.2523633 · Cited by 1,848
Distributed GraphLab: a framework for machine learning and data mining in the cloud
Low, Y., Bickson, D., Gonzalez, J., Guestrin, C., Kyrola, A., & Hellerstein, J. M. (2012) · Proceedings of the VLDB Endowment · doi:10.14778/2212351.2212354 · Cited by 1,653
(2011) · doi:10.5555/1972457.1972488 · Cited by 1,619
PowerGraph: distributed graph-parallel computation on natural graphs
Gonzalez, J. E., Low, Y., Gu, H., Bickson, D., & Guestrin, C. (2012) · doi:10.5555/2387880.2387883 · Cited by 1,451
R-MAT: A Recursive Model for Graph Mining
Chakrabarti, D., Zhan, Y., & Faloutsos, C. (2004) · Proceedings of the 2004 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972740.43 · Cited by 1,255
Spark SQL: Relational Data Processing in Spark
Armbrust, M., Xin, R. S., Lian, C., Huai, Y., Liu, D., Bradley, J. K., Meng, X., Kaftan, T., Franklin, M. J., Ghodsi, A., et al. (2015) · Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data · doi:10.1145/2723372.2742797 · Cited by 1,253
Cited by
A survey of data partitioning and sampling methods to support big data analysis
Mahmud, M. S., Huang, J. Z., Salloum, S., Emara, T. Z., & Sadatdiynov, K. (2020) · Big Data Mining and Analytics · doi:10.26599/bdma.2019.9020015 · Cited by 282
Self-citationImplementing Big Data Lake for Heterogeneous Data Sources
Mehmood, H., Gilman, E., Cortes, M., Kostakos, P., Byrne, A., Valta, K., Tekes, S., & Riekki, J. (2019) · 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew.2019.00-37 · Cited by 74
Big data clustering techniques based on Spark: a literature review
Saeed, M. M., Al Aghbari, Z., & Alsharidah, M. (2020) · PeerJ Computer Science · doi:10.7717/peerj-cs.321 · Cited by 48
Metadata
- Authors
- Salloum, S., Dautov, R., Chen, X., Peng, P. X., & Huang, J. Z.
- Venue
- International Journal of Data Science and Analytics
- Published
- 2016-10-13
- Volume
- 1
- Issue
- 3-4
- Pages
- 145-164
- ISSN
- 2364-415X (ISSN-L)
- 2364-4168
- OpenAlex
- W2530314904
- Cited by
- 428
- References
- 54
- FWCI
- 44.59
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Big data analytics on Apache Spark. https://app.cochat.ai/papers/10.1007/s41060-016-0027-9
- The paper
- Salloum, S., Dautov, R., Chen, X., Peng, P. X., & Huang, J. Z. (2016). Big data analytics on Apache Spark. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-016-0027-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.