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Journal of Global Research in Computer Sciences : Citations & Metrics Report

Important citations (766)
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image Karthikeyan b, ramakrishnan s, vaithiyanathan v, sruti s, gomathymeenakshi m. an improved steganographic technique using lsb replacement on a scanned path image. international journal of network security. 2014 jan 1;16(1):14-8.
image Liu n, sheng y. a strong robust wavelet-based watermarking technology for copyright protection. in2012 24th chinese control and decision conference (ccdc) 2012 may 23 (pp. 923-928). ieee.
image Vellingiri j, kaliraj s, satheeshkumar s, parthiban t. investigation on user web navigation using enhanced active ontology cluster and subjective association rules. international information institute (tokyo). information. 2014 aug 1;17(8):3769.
image Joshi c, singh uk. a novel approach towards integration of semantic web mining with link analysis to improve the effectiveness of the personalized web. international journal of computer applications. 2015 oct;975:8887.
image Zawar mm, barakare a. a better approach for mining high utility itemset from transactional databases.
image Manjunath p, naidu k. apriori algorithm and decision tree classification methods to mine educational data for evaluating graduate admissions to us universities. incybernetics, cognition and machine learning applications 2020 (pp. 103-115). springer, singapore.
image Bidhan s, garg k. improving efficiency of meta algorithm using record reduction. international journal of computers & technology. 2013 jun 15;8(1):712-20.
image Bakar wa, saman my, abdullah z, herawan t. mining dense data: association rule discovery on benchmark case study. jurnal teknologi. 2016;78(2-2).
image Devi p, bansal kl. performance comparison of association rule mining algorithms on different datasets using tanagra tool.
image Jardosh mp, ganatra a. a comprehensive survey: association rule mining from xml. international journal of innovative and emerging research in engineering. 2015;2(4):103-6.
image Muliono r, khairina n, harahap mk. analysis of frequent itemsets mining algorithm againts models of different datasets. injournal of physics: conference series 2019 nov 1 (vol. 1361, no. 1, p. 012036). iop publishing.
image Anggrainingsih r, khoirudin nr, setiadi h. discovering drugs combination pattern using fp-growth algorithm. in2017 4th international conference on electrical engineering, computer science and informatics (eecsi) 2017 sep 19 (pp. 1-4). ieee.
image Wankhede ss, armstrong lj, gandhi n. characterising the influence of drought on jowar crop production in india using association rule mining. in2017 ieee technological innovations in ict for agriculture and rural development (tiar) 2017 apr 7 (pp. 57-63). ieee.
image Aggarwal s, rani b. optimization of association rule mining process using apriori and ant colony optimization algorithm. international journal of current engineering and technology. 2013;3(2):623.
image Mittal k, aggarwal g, mahajan p. a comparative study of association rule mining techniques and predictive mining approaches for association classification. international journal of advanced research in computer science. 2017 nov 1;8(9).
image Mulay p, mulatu s. what you eat matters road safety: a data mining approach. indian journal of science and technology. 2016 apr;9(15):1-8.
image Fernández-arteaga v, tovilla-zárate ca, fresán a, gonzález-castro tb, juárez-rojop ie, lópez-narváez l, hernández-díaz y. association between completed suicide and environmental temperature in a mexican population, using the knowledge discovery in database approach. computer methods and programs in biomedicine. 2016 oct 1;135:219-24.
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image Ravikumar m, boraik oa. low pass filter-based enhancement of arabic handwritten document images. ininternational conference on information and communication technology for intelligent systems 2020 may 15 (pp. 271-277). springer, singapore.