References

Anonymous, 2019. Greenplum database administrator guide. Pivotal Software Inc., San Francisco, California, USA. https://gpdb.docs.pivotal.io/43170/admin_guide/admin_guide.html

Chen, Z., Y. Wen, J. Cao, W. Zheng and J. Chang et al., 2015. A survey of bitmap index compression algorithms for big data. Tsinghua Sci. Technol., 20: 100-115.
CrossRef  |  Direct Link  |  

Diao, R.H., 2012. The research and analysis of R-tree spatial index based on K-means clustering. Appl. Mech. Mater., 189: 491-494.
Direct Link  |  

Eltabakh, M.Y., 2017. Data Organization and Curation in Big Data. In: Handbook of Big Data Technologies, Zomaya, A.Y. and S. Sakr (Eds.). Springer, Cham, Switzerland, ISBN:978-3-319-49339-8, pp: 143-178.

Gani, A., A. Siddiqa, S. Shamshirband and F. Hanum, 2016. A survey on indexing techniques for big data: Taxonomy and performance evaluation. Knowl. Inf. Syst., 46: 241-284.
CrossRef  |  Direct Link  |  

Hoffner, V., 2003. Fundamentals of data warehouses. ACM. SIGMOD. Rec., 32: 55-56.
CrossRef  |  Direct Link  |  

Jacksi, K. and S. Badiozamany, 2015. General method for data indexing using clustering methods. Intl. J. Sci. Eng. Res., 6: 641-644.
Direct Link  |  

Jamil, S. and R. Ibrahim, 2009. Performance analysis of indexing techniques in data warehousing. Proceedings of the 2009 International Conference on Emerging Technologies, October 19-20, 2009, IEEE, Islamabad, Pakistan, ISBN:978-1-4244-5630-7, pp: 57-61.

Kadhim F.A., G.H.A. Majeed and R.S. Ali, 2016. Dynamic clustering for information retrieval from big data depending on compressed files. Int. J. Adv. Comput. Sci. Appl., Vol. 7. 10.14569/IJACSA.2016.070140

Kalan, R.S. and I. Kocabas, 2016. Adaptive tools and technology in big data analytics. J. Multi. Eng. Sci. Technol., 3: 3777-3785.
Direct Link  |  

Manning, C.D., P. Raghavan and H. Schutze, 2008. An Introduction to Information Retrieval. Cambridge University Press, USA., ISBN-13: 9780521865715, Pages: 482.

Mpinda, S.A.T., L.C. Ferreira, M.X. Ribeiro and M.T.P. Santos, 2015. Evaluation of graph databases performance through indexing techniques. Intl. J. Artif. Intell. Appl., 6: 87-98.
CrossRef  |  Direct Link  |  

Patel, P. and D. Garg, 2012. Comparison of advance tree data structures. Intl. J. Comput. Appl., 41: 11-21.
CrossRef  |  Direct Link  |  

Paygozar, H. and A. Samadi, 2016. A review of retrieval algorithms of indexing techniques on learning material. Intl. J. Comput. Sci. Inf. Secur., 14: 412-418.
Direct Link  |  

Qin, X., 2016. Performance comparison of index schemes for range query of big data. Proceedings of the 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), August 13-15, 2016, IEEE, Changsha, China, ISBN:978-1-5090-4094-0, pp: 1469-1473.

Savita and S. Shrivastava, 2016. Search engine indexing using K-mean clustering technique. Intl. J. Adv. Res. Sci. Eng., 5: 218-227.
Direct Link  |  

Siddiqa, A., A. Karim, T. Saba and V. Chang, 2017. On the analysis of big data indexing execution strategies. J. Intell. Fuzzy Syst., 32: 3259-3271.
CrossRef  |  Direct Link  |  

Sidirourgos, L. and M. Kersten, 2013. Column imprints: A secondary index structure. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD '13), June 22-27, 2013, ACM, New York, USA., ISBN:978-1-4503-2037-5, pp: 893-904.

Stantic, B. and I. Pokorny, 2014. Opportunities in Big Data Management and Processing. In: Databases and Information Systems VIII, Haav, H.M.,‎ A. Kalja and T. Robal (Eds.). IOS Press, Amsterdam, Netherlands, ISBN:978-1-61499-457-2, pp: 15-26.

Sullivan, D., 2015. NOSQL for Mere Mortals. Addison-Wesley, Boston, Massachusetts, USA., ISBN-13:978-0-13-402321-2, Pages: 512.

Vanichayobon, S. and L. Gruenwald, 1999. Indexing techniques for data warehouses queries. Master Thesis, The University of Oklahoma, Norman, Oklahoma.