Cite this article |
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Chandni Sikarwar, Kailash Patidar and Rishi Kushwah, " K-means and associated cuckoo based hierarchy optimization for document categorization " ,
International Journal of Advanced Technology and Engineering Exploration (IJATEE), Volume-5, Issue-45, August-2018 ,pp.297-302.DOI:10.19101/IJATEE.2018.543019 |
References |
: |
[1]Azizah A, Abraham J. Content analysis and exploratory factor analysis of relationship goals among young adults: converging data from instagram and offline surveys. International Journal of Advanced Computer Research. 2017; 8(34):11-34.
|
[Crossref] |
[Google Scholar] |
[2]Rauber A, Dittenbach M, Merkl D. Towards automatic content-based organization of multilingual digital libraries: an English, French, and German view of the Russian information agency novosti news. In third all-Russian conference digital libraries: advanced methods and technologies 2001.
|
[Google Scholar] |
[3]Rauber A, Merkl D, Dittenbach M. The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data. IEEE Transactions on Neural Networks. 2002; 13(6):1331-41.
|
[Crossref] |
[Google Scholar] |
[4]Bagajewicz M, Cabrera E. Pareto optimal solutions visualization techniques for multiobjective design and upgrade of instrumentation networks. Industrial & Engineering Chemistry Research. 2003; 42(21):5195-203.
|
[Crossref] |
[Google Scholar] |
[5]Berger W, Piringer H, Filzmoser P, Groller E. Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction. Computer Graphics Forum. 2011; 30(3):911-20.
|
[Crossref] |
[Google Scholar] |
[6]Beume N, Naujoks B, Emmerich M. SMS-EMOA: multiobjective selection based on dominated hypervolume. European Journal of Operational Research. 2007; 181(3):1653-69.
|
[Crossref] |
[Google Scholar] |
[7]Dubey AK, Shandilya SK. A novel J2ME service for mining incremental patterns in mobile computing. In international conference on advances in information and communication technologies 2010 (pp. 157-64). Springer, Berlin, Heidelberg.
|
[Crossref] |
[Google Scholar] |
[8]Shrivastava P, Gupta H. A review of density-based clustering in spatial data. International Journal of Advanced Computer Research. 2012; 2(5):200-2.
|
[Google Scholar] |
[9]Chen K, Liu L. A random rotation perturbation approach to privacy preserving data classification. In proceedings of international conference on data mining 2005 (pp. 1-12).
|
[Google Scholar] |
[10]Liang SC, Lee YC, Lee PC. The application of ant colony optimization to the classification rule problem. In international conference on granular computing 2011 (pp. 390-2). IEEE.
|
[Crossref] |
[Google Scholar] |
[11]Sadh AS, Shukla N. Association rules optimization: a survey. International Journal of Advanced Computer Research. 2013; 3(9):111-5.
|
[Google Scholar] |
[12]Modiri A, Kiasaleh K. Permittivity estimation for breast cancer detection using particle swarm optimization algorithm. In annual international conference of the engineering in medicine and biology society 2011 (pp. 1359-62). IEEE.
|
[Crossref] |
[Google Scholar] |
[13]Liu Y, Chung YY. Mining cancer data with discrete particle swarm optimization and rule pruning. In international symposium on IT in medicine and education 2011 (pp. 31-4). IEEE.
|
[Crossref] |
[Google Scholar] |
[14]Dubey AK, Dubey AK, Agarwal V, Khandagre Y. Knowledge discovery with a subset-superset approach for mining heterogeneous data with dynamic support. CONSEG-2012 (pp.1-6). IEEE.
|
[Crossref] |
[Google Scholar] |
[15]Srihari S, Leedham G. A survey of computer methods in forensic handwritten document examination. In eleventh international graphonomics society conference 2003 (pp. 278-81).
|
[Google Scholar] |
[16]Oppliger R, Rytz R. Digital evidence: dream and reality. IEEE Security & Privacy. 2003; 99(5):44-8.
|
[Crossref] |
[Google Scholar] |
[17]Mehrbod A, Zutshi A, Grilo A. A vector space model approach for searching and matching product e-catalogues. In proceedings of the eighth international conference on management science and engineering management 2014 (pp. 833-42). Springer, Berlin, Heidelberg.
|
[Crossref] |
[Google Scholar] |
[18]Bai VM, Manimegalai D. An analysis of document clustering algorithms. In international conference on communication control and computing technologies 2010 (pp. 402-6). IEEE.
|
[Crossref] |
[Google Scholar] |
[19]Zuhtuogullari K, Allahverdi N. An improved itemset generation approach for mining medical databases. International symposium on innovations in intelligent systems and applications 2011 (pp. 39-43). IEEE.
|
[Crossref] |
[Google Scholar] |
[20]Yang HC, Lee CH, Ke KL. TOSOM: a topic-oriented self-organizing map for text organization. International Journal of Computer and Information Engineering. 2010; 4(5):1013-7.
|
[Crossref] |
[Google Scholar] |
[21]Yang HC, Lee CH, Wu CY. Incorporating user constraints into topic-oriented self-organizing maps. In symposium on foundations of computational intelligence 2013 (pp. 91-7). IEEE.
|
[Crossref] |
[Google Scholar] |
[22]Pradip KG, Patil DR. Summarization of sentences using fuzzy and hierarchical clustering approach. In symposium on colossal data analysis and networking 2016 (pp. 1-7). IEEE.
|
[Crossref] |
[Google Scholar] |
[23]Harish BS, Revanasiddappa MB, Kumar SA. A modified support vector clustering method for document categorization. In international conference on knowledge engineering and applications 2016 (pp. 1-5). IEEE.
|
[Crossref] |
[Google Scholar] |
[24]Popat SK, Deshmukh PB, Metre VA. Hierarchical document clustering based on cosine similarity measure. In international conference on intelligent systems and information management 2017 (pp. 153-9). IEEE.
|
[Crossref] |
[Google Scholar] |
[25]Dou W, Liu S. Topic-and time-oriented visual text analysis. IEEE Computer Graphics and Applications. 2016; 36(4):8-13.
|
[Crossref] |
[Google Scholar] |
[26]Kohana M, Sakaji H, Kobayashi A, Okamoto S. A distributed calculation scheme for contents categorization. In international conference on advanced information networking and applications 2017 (pp. 614-20). IEEE.
|
[Crossref] |
[Google Scholar] |
[27]Nema P, Sharma V. Multi-label text categorization based on feature optimization using ant colony optimization and relevance clustering technique. In international conference on computers, communications, and systems 2015 (pp. 1-5). IEEE.
|
[Crossref] |
[Google Scholar] |
[28]Bide P, Shedge R. Improved document clustering using k-means algorithm. In international conference on electrical, computer and communication technologies 2015 (pp. 1-5). IEEE.
|
[Crossref] |
[Google Scholar] |
[29]Wandabwa H, Zhang D, Sammy K. Text categorization via attribute distance weighted k-nearest neighbor classification. In international conference on information technology 2016 (pp. 225-8). IEEE.
|
[Crossref] |
[Google Scholar] |
|